Publications


Paramagnetic rim lesion prevalence, clinical differences, and radiological associations using a standardized classification criteria


M. Mohebbi*, J.A. Reeves*, D. Jakimovski, N. Bergsland, F. Salman, F. Schweser, B. Weinstock-Guttman, M.G. Dwyer, R. Zivadinov

Americas Committee for Treatment and Research in Multiple Sclerosis Forum 2023, San Diego, CA


Beyond the dipole: unveiling the hidden impact of nondipolar shifts on MRI phase contrast anisotropy in the brain


Jochmann T, Kügler N, Omira A, Zivadinov R, Haueisen J, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Susceptibility anisotropy imaging from single-orientation MRI with a training-free physics-informed autoencoder.


Jochmann T, Omira A, Kügler N, Zivadinov R, Haueisen J, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


A Fully Automated Pipeline for the Determination of the Iron Microstructure Coefficient (IMC) from Multi-Echo GRE Data


Mir S, Salman F, Jakimovski D, McGranor C, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Strategized Replication: Exploring Inconsistencies in QSM-Based Studies of Brain Iron in Multiple Sclerosis


Salman F, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Optimizing QSM-T1w Neuroimaging Templates: Exploring the Impact of the Number of Subjects on Template Quality


Salman F, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Multi-parametric investigation of thalamic iron and neurotransmitter dyshomeostasis in multiple sclerosis patients with high disability


Salman F, Murdoch JB, Jakimovski D, McGranor C, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Decoding Deep Gray Matter Susceptibility: Variance from the reference region, not dipole inversion artifacts, dominates reproducibility


Salman F, Ramesh A, Prayer M, Adegbemigun A, Jochmann T, Bergsland N, Dwyer MG, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


Decoding Sensitivity of Quantitative Susceptibility Mapping: Influence of Background Field Removal and Inversion Algorithms


Salman F, Ramesh A, Prayer M, Adegbemigun A, Jochmann T, Bergsland N, Dwyer MG, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Singapore, 2024


A Centralized Neuroinformatics Platform to Provide Broad Normative and Comparative Datasets in Multiple Sclerosis.


Bartnik A, Smith M, Diehl AD, Duncan W, Bergsland N, Schweser F, Zivadinov R, Dwyer MG

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Using Machine Learning with Clinical Routine Imaging to Predict Disability Progression in Multiple Sclerosis .


Bartnik A, Smith M, Jakimovski D, Bergsland N, Weinstock-Guttman B, Zivadinov R, Dwyer MG

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Conventional chi-separation compared to self calibrated method (BIOPHYSICSS-DL) wịth histological validation


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

Jacobs School of Medicine and Biomedical Sciences Communit Research Day, Buffalo, NY, 2023


Conventional χ-separation compared to self-calibrated method (BIOPHYSICSS-DL) with histological validation


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


Single Subject Self-Calibrating Network (BIOPHYSICSS-DL) with an improved prediction model for X-separation with histological validation


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

IEEE WNYISPW, Rochester, NY, 2023


Conventional chi-separation compared to self calibrated method (BIOPHYSICSS-DL) wịth histological validation


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F.

Jacobs School of Medicine and Biomedical Sciences Communit Research Day, Buffalo, NY, 2023


Myelin, Iron, and Free Water Content Quantification Through BIOPHYSICSS Deep Learning.


Benslimane I., Grabner G., Hametner S., Jochmann T., Zivadinov R., Schweser F.

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


Baseline Cognition and Imaging Measures of Patients With Relapsing Multiple Sclerosis in ENLIGHTEN: a Study of the Effect of Ozanimod on Cognitive Processing Speed.


DeLuca J, Riolo JV, Cheng C, Naismith RT, Wray S, Bass A, Fox E, Riser E, Chaudhry B, Silva D, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Assessing Spinal Cord Pathology In Vivo using High Field MRI in Thieler's Murine Encephalomyelitis Virus Mouse Model.


Dhanraj R, Taher A, Charboneau T, Schweser F, Dwyer MG, Pol S, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Glial cell injury and MRI measures of chronic multiple sclerosis inflammation.


Jakimovski D, Qureshi F, Ramanathan M, Keshavan A, Leyden K, Ghoreyshi A, Dwyer MG, Bergsland N, Weinstock-Guttman B, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Cortical thickness and cognitive performance of elderly with multiple sclerosis.


Jakimovski D, Zivadinov R, Weinstock Z, Fuchs TA, Dwyer MG, Bergsland N, Weinstock-Guttman B, Benedict R HB

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Blood Serum Proteome Correlates of Multiple Sclerosis Disease Progression as evaluated by Neuropsychological Test Outcomes: A 5-Year Longitudinal Study.


Jalaleddini K, Benedict R HB, Keshavan A, McCurdy S, Qureshi F, Ghoreyshi A, Bergsland N, Dwyer MG, Ramanathan M, Jakimovski D, Weinstock-Guttman B, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Novel Magnetic Resonance Imaging Technique Shows That Brain Tissue Induces Nondipolar Larmor Frequency Shifts


Jochmann T, Jakimovski D, Hametner S, Zivadinov R, Haueisen J, Schweser F

Jacobs School of Medicine and Biomedical Sciences Community Research Day, Buffalo, NY., 2023


Novel Magnetic Resonance Imaging Technique Shows That Brain Tissue Induces Nondipolar Larmor Frequency Shifts


Jochmann T, Jakimovski D, Hametner S, Zivadinov R, Haueisen J, Schweser F

Jacobs School of Medicine and Biomedical Sciences Community Research Day, Buffalo, NY, 2023


Nonsusceptibility frequency shift reveals subtypes of multiple sclerosis lesions and predicts 5-year disappearance of paramagnetic rim.


Jochmann T., Reeves J.A., Salman F., Jakimovski D., Hametner S., Mohebbi M., Bergsland N., Weinstock-Gutman B., Dwyer M.G., Zivadinov R., Haueisen J., Schweser F.

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


Nonsusceptibility frequency contributions and brain size affect quantitative susceptibility mapping in a region-dependent manner.


Jochmann T., Salman F., Adegbemigun A., Haueisen J., Schweser F.

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


3D Printed Alignment Apparatus for Retrofitted Rodent PET-MRI at 9.4 Tesla.


Marecki M., Pol S., Zivadinov R., Schweser F.

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


Baseline Relationships Between Measures of Cognitive Function and Patient-Reported Outcomes in Patients With Relapsing Multiple Sclerosis in ENLIGHTEN: a Phase 3b Study of Ozanimod.


Morrow S, Zivadinov R, DeLuca J, Riolo JV, Cheng C, Wray S, Bass A, Fox E, Riser E, Chaudhry B, Reardon J, Silva D, Naismith RT

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Iron-oxide nanoparticle contrast enhancement predicts grey matter volume loss in a viral mouse model of demyelination.


Pol S, Dhanraj R, Crever M, Taher A, Charboneau T, Schweser F, Dwyer MG, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Novel MRI Technique Reveals Subtypes of Paramagnetic Rim Lesions and Predicts 5-year Rim Disappearance


J.A. Reeves*, T. Jochmann*, M. Mohebbi, D. Jakimovski, S. Hametner, F. Salman, N. Bergsland, B. Weinstock-Guttman, M.G. Dwyer, R. Zivadinov, F Schweser

Americas Committee for Treatment and Research in Multiple Sclerosis Forum , San Diego, CA, 2023


Paramagnetic rim lesion prevalence, clinical differences, and radiological associations using a standardized classification criteria.


Reeves J, Jakimovski D, Bergsland N, Salman F, Schweser F, Weinstock-Guttman B, Dwyer MG, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Associations between different QSM lesion subtypes and brain atrophy in multiple sclerosis.


Reeves J, Jakimovski D, Salman F, Bergsland N, Schweser F, Weinstock-Guttman B, Dwyer MG, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Short-term susceptibility correlations are sensitive to disrupted iron dynamics in multiple sclerosis


Reeves JA, Salman F, Dwyer MG, Bergsland N, Muldoon S, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023, p297


Systematic assessment of published QSM inversion algorithms for detecting longitudinal changes in brain susceptibility


Salman F, Ramesh A, Jochmann I, Payer M, Bergsland N, Dwyer MG, Jakimovski D, Zivadinov R, Schweser F

Jacobs School of Medicine and Biomedical Sciences Community Research Day, Buffalo, NY, 2023


Systematic assessment of published QSM inversion algorithms for detecting longitudinal changes in brain susceptibility


Salman F, Ramesh A, Jochmann T, Payer M, Bergsland N, Dwyer MG, Jakimovski D, Zivadinov R, Schweser F

Jacobs School of Medicine and Biomedical Sciences Community Research Day, Buffalo, NY, 2023


Systematic assessment of published QSM inversion algorithms for detecting longitudinal changes in brain susceptibility


F. Salman, A. Ramesh, M. Prayer, T. Jochmann, N. Bergsland, G. M. Dwyer, R. Zivadinov, F Schweser

Proc Intl Soc Mag Reson Med, Toronto, ON, Canada, 2023


Gadolinium-enhancing Lesion Volume During Relapse Predicts Recovery from Cognitive Relapse.


Weinstock Z, Dwyer MG, Bergsland N, Jakimovski D, Morrow SA, Conway D, Fuchs TA, Wojcik C, Zivadinov R, Weinstock-Guttman B, Benedict R HB

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Cognitive Function in Severely Affected People with Multiple Sclerosis.


Weinstock Z, Zivadinov R, Jakimovski D, Burnham A, Wicks T, Ostrem M, Suchan C, Dwyer MG, Reilly J, Bergsland N, Young-Hong D, Weinstock-Guttman B, Benedict R HB

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Cardiovascular Disease Diagnosis is Associated with Long-term Confirmed Disability Progression in Multiple Sclerosis.


Wicks TR, Jakimovski D, Reeves J, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Relationship Between Baseline Cognitive Performance and Brain Volume Outcomes in Patients With Relapsing Multiple Sclerosis in ENLIGHTEN: a Phase 3b Study of Ozanimod.


Zivadinov R, DeLuca, Riolo JV, Cheng C, Wray S, Bass A, Fox E, Riser E, Chaudhry B, Reardon J, Silva D, Naismith RT

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Comprehensive Assessment of Severely Affected Multiple Sclerosis (CASA-MS) Study.


Zivadinov R, Jakimovski D, Burnham A, Weinstock Z, Wicks T, Ramanathan M, Sciortino T, Ostrem M, Suchan C, Dwyer MG, Reilly J, Bergsland N, Schweser F, Kennedy C, Young-Hong C, Hojnacki D Eckert S, Kuhle J, Benedict R HB, Weinstock-Guttman B.

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


A Systematic Literature Review of the Association between Global Brain Atrophy and the Expanded Disability Severity Scale Score in People with Multiple Sclerosis.


Zivadinov R, Stocks SJ, Keenan A, Le HH, Sprenger T

Americas Committee for Treatment and Research in Multiple Sclerosis Forum, San Diego, CA, 2023


Improved self-calibrated signal model for χ-separation using single-subject (N=1) physics-constrained deep learning with histological validation.


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

Artificial Intelligence in Clinical Imaging (AICI) Forum, Graz, Austria, 2022


Beyond qMRI: Biological tissue properties forom single-subject unsupervised deep learning with theoretical signal constraints


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2022, p. 370


Self-calibrating χ-separation using single-subject (N=1) physics-constrained deep learning.


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

15th Annual Buffalo Neuroscience Research Day, Buffalo, NY, 2022


Self-calibration, histological validation, and an improved signal model for χ-separation using single-subject (N=1) physics-constrained deep learning.


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F

Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Monoclonal Antibody Tumor Disposition


Brandon M Bordeau, J. R. Polli, F. Schweser, H. Grimm, W. Richter, J. Balthasar

International journal of molecular sciences, 2022


Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis


Jack A. Reeves, N. Bergsland, M. Dwyer, G. Wilding, D. Jakimovski, Fahad Salman, B. Süle, Nicklas Meineke, B. Weinstock-Guttman, R. Zivadinov, F. Schweser

NeuroImage, 2022


Nonsusceptibility frequency shifts in the human brain and their impact on quantitative suscep-tibility mapping


Jochmann T, Jakimovski D, Hametner S, Zivadinov R, Haueisen J, Schweser F

Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


Differential patterns of change in brain connectivity resulting from severe traumatic brain injury.


Johan Nakuci, Matthew McGuire, F. Schweser, D. Poulsen, S. Muldoon

Brain connectivity, 2022


Design of a 3D Printed Alignment Apparatus for Retrofitted Rodent PET-MRI at 9.4 Tesla


Marecki L, Suyog P, Zivadinov R, Schweser F

PSMR, La Biodola, Isola d'Elba, Italy, 2022


A Fully Automated Pipeline for the Determination of the Iron Microstructure Coefficient (IMC) from Multi-Echo GRE Data


Mir S, Salman F, Jakimovski D, McGranor C, Zivadinov R, Schweser F

Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


A Pipeline for the Determination of the Iron Microstructure Coefficient (IMC) from MGRE Data.


Mir S, Salman F, Schweser F

15th Annual Buffalo Neuroscience Research Day, Buffalo, NY, 2022


Development of a computational pipeline for the multi-dimensional analysis of multi-echo MRI data.


Mir S, Salman F, Schweser F

SUNY Annual Undergraduate Research Conference, Buffalo, NY, 2022


Discovery of two novel deep gray matter brain iron networks through an Independent Component Analysis of Quantitative Susceptibility Maps


Reeves J, Bergsland N, Jakimovski D, Salman F, Damm J, Meineke N, Dwyer MG, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2022, p. 789


Two Novel Brain Iron Networks Explain Aging-related Variation in Deep Gray Matter


Reeves J, Bergsland N, Jakimovski D, Salman F, Damm J, Meineke N, Dwyer MG, Zivadinov R, Schweser F

American Academy of Neurology (AAN), Seattle, WA, 2022, p. 1950


Effect of limited segmentation performance on regional qMRI parameter estimations using FSL FIRST in anatomical regions with poor T1 contrast.


Salman F, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2022, p. 885


Temporal evlution of iron concentration and content in the pulvinar of patients with MS.


Salman F, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R, Schweser F

15th Annual Buffalo Neuroscience Research Day, Buffalo, NY, 2022


Temporal evolution of the concentration and content of tissue iron in the pulvinar of patients with multiple sclerosis.


Salman F, Bergsland N, Dwyer M, Weinstock-Guttman B, Zivadinov R, Schweser F

Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


Effect of limited segmentation performance on regional susceptibility estimations using FSL FIRST in anatomical regions with poor T1 contrast.


Salman F, Bergsland N, Dwyer M, Weinstock-Guttman B, Zivadinov R, Schweser F

Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


Embedding medium alters local phase contrast in postmortem MRI of the human brain


Schweser F, Hametner S, Jochmann T, Riedl C, Bachrata B, Laux M, Grabner G

Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping, Lucca, Italy, 2022


QSM Reconstruction Challenge 2.0 - Data and Code Provided to Participants


B. Bilgiç, C. Langkammer, J. Marques, J. Meineke, C. Milovic, F. Schweser

2021


Unsupervised physics-informed deep learning (N=1) for solving inverse qMRI problems–Relaxometry and field mapping from multi-echo data.


Benslimane I, Jochmann T, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2021, p. 330


Quantitative mapping of susceptibility and non-susceptibility frequency with DEEPOLE QUASAR


Jochmann T, Jakimovski D, Küchler N, Zivadinov R, Haueisen J, Schweser F

Proc Intl Soc Mag Reson Med, 2021, p. 789


Quantitative mapping of susceptibility and non-susceptibility frequency from gradient-echo phase images


Jochmann T, Jakimovski D, Küchler N, Zivadinov R, Haueisen J, Schweser F

12th Ultrahigh Field Magnetic Resonance Symposium , 2021, p. 13


Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-informed Deep Learning.


Jochmann T, Schweser F, Küchler N, Jakimovski D, Zivadinov R, Haueisen J

16th International Workshop on Optimization and Inverse Problems in Electromagnetism, 2021


Differential patterns of change in brain connectivity resulting from severe traumatic brain injury


Johan Nakuci, Matthew McGuire, F. Schweser, D. Poulsen, S. Muldoon

bioRxiv, 2021


Correlation of histomorphometric changes with diffusion tensor imaging for evaluation of blast-induced auditory neurodegeneration in chinchilla.


Kathiravan Kaliyappan, Johan Nakuci, Marilena Preda, F. Schweser, S. Muldoon, Vijaya Prakash Krishnan Muthaiah

Journal of neurotrauma, 2021


DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis


M. Dwyer, Cassondra Lyman, Hannah Ferrari, N. Bergsland, T. Fuchs, D. Jakimovski, F. Schweser, Bianca Weinstock-Guttmann, R. Benedict, Jon Riolo, Diego G. Silva, R. Zivadinov

NeuroImage: Clinical, 2021


Decline of both iron concentration and iron content within the thalamus of patients with multiple sclerosis over two years.


Salman F, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2021, p. 2805


U3-Net for Deep Vector QSM – Solving the Susceptibility Tensor Phase Model in Single-Orientation MRI


Baader EF, Jochmann T, Haueisen J, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, 2020, p. 3202


Tagged cine magnetic resonance imaging to quantify regional mechanical changes after acute myocardial infarction.


Badri Karthikeyan, S. Sonkawade, S. Pokharel, Marilena Preda, F. Schweser, R. Zivadinov, Minhyung Kim, U. Sharma

Magnetic resonance imaging, 2020


QSM Reconstruction Challenge 2.0: Design and Report of Results


B. Bilgiç, C. Langkammer, J. Marques, J. Meineke, C. Milovic, F. Schweser

bioRxiv, 2020


[2019 QSM Reconstruction Challenge] Metrics and Submission Information


B. Bilgiç, C. Langkammer, J. Marques, J. Meineke, C. Milovic, F. Schweser

2020


Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI


F. Schweser, J. Hagemeier, M. Dwyer, N. Bergsland, S. Hametner, B. Weinstock-Guttman, R. Zivadinov

Human brain mapping, 2020


QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures


J. Marques, J. Meineke, C. Milovic, B. Bilgiç, Kwok-Shing Chan, Renaud Hédouin, W. van der Zwaag, C. Langkammer, F. Schweser

bioRxiv, 2020


How to train a Deep Convolutional Neural Network for Quantitative Susceptibility Mapping (QSM)


Jochmann T, Haueisen J, Schweser F

Proc Intl Soc Mag Reson Med, 2020, p. 3195


SOJU-Net—Denoising MR phase images with physics-informed deep learning using artificial Rician noise augmentation


Jochmann T, Kuechler N, Haueisen J, Schweser F

Proc Intl Soc Mag Reson Med, 2020, p. 3196


Longitudinal Magnetic Resonance Imaging of Cerebral Microbleeds in Multiple Sclerosis Patients


Karthikeyan Subramanian, D. Utriainen, D. Ramasamy, S. Sethi, F. Schweser, J. Beaver, J. Hagemeier, B. Weinstock-Guttman, R. Rajagovindan, R. Zivadinov, E. Haacke

Diagnostics, 2020


A Fourier transformation based convolutional neural network layer for physics-informed deep learning of magnetic dipole inversion


Küchler N, Haueisen J, Schweser F, Jochmann T

German Society for Biomedical Engineering , 2020, p1570638759


Thalamic Nuclei Volumes and Their Relationships to Neuroperformance in Multiple Sclerosis: A Cross‐Sectional Structural MRI Study


N. Bergsland, R. Benedict, M. Dwyer, T. Fuchs, D. Jakimovski, F. Schweser, E. Tavazzi, B. Weinstock-Guttman, R. Zivadinov

Journal of magnetic resonance imaging : JMRI, 2020


Detection of Monocyte/Macrophage and Microglia Activation in the TMEV Model of Chronic Demyelination Using USPIO‐Enhanced Ultrahigh‐Field Imaging


R. Zivadinov, F. Schweser, M. Dwyer, Suyog U. Pol

Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2020


Trajectories of magnetic susceptibility in the pulvinar provide further evidence for accelerated decline of thalamic iron in multiple sclerosis.


Salman F, Zivadinov R, Bergsland N, Dwyer MG, Weinstock-Guttman B, Schweser F

Proc Intl Soc Mag Reson Med, 2020, p. 1385


Subcutaneous anti-CD20 antibody treatment delays gray matter atrophy in human myelin oligodendrocyte glycoprotein-induced EAE mice


Suyog U. Pol, Serena Liang, F. Schweser, Ravendra Dhanraj, A. Schubart, Marilena Preda, M. Sveinsson, D. Ramasamy, M. Dwyer, G. Weckbecker, R. Zivadinov

Experimental Neurology, 2020


Visualization of thalamic calcium influx with quantitative susceptibility mapping as a potential imaging biomarker for repeated mild traumatic brain injury


F. Schweser, Jenni Kyyriäinen, Marilena Preda, A. Pitkänen, Kathryn Toffolo, Austin Poulsen, Kaitlynn Donahue, B. Levy, D. Poulsen

NeuroImage, 2019


Reinforcer pathology: Common neural substrates for delay discounting and snack purchasing in prediabetics


Harshawardhan U. Deshpande, A. Mellis, J. Lisinski, J. Stein, Mikhail N. Koffarnus, R. Paluch, F. Schweser, R. Zivadinov, S. LaConte, L. Epstein, W. Bickel

Brain and Cognition, 2019


High-resolution MRI of the mouse cerebral vasculature to study hemodynamic-induced vascular remodeling


H. Rajabzadeh-Oghaz, A. R. Chandra, Liza C. Gutierrez, F. Schweser, C. Ionita, A. Siddiqui, V. Tutino

Medical Imaging, 2019


Physics-aware augmentation, artificial noise, and synthetic samples to train a convolutional neural network for QSM


Jochmann T, Haueisen J, Schweser F

5th International Workshop on MRI Phase Contrast and QSM, Seoul, Korea, 2019


U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network that Disentangles MRI Phase Contrast Mechanisms.


Jochmann T, Haueisen J, Zivadinov R, Schweser F

Proc Intl Soc Mag Reson Med, Montreal, QC, Canada, 2019, p. 320


DEEPOLE QUASAR–A deep learning-based approach for quantitative susceptibility and non-susceptibility phase mapping.


Jochmann T, Haueisen J, Zivadinov R, Schweser F

5th International Workshop on MRI Phase Contrast and QSM, Seoul, Korea, 2019


Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders


N. Bergsland, E. Tavazzi, F. Schweser, D. Jakimovski, J. Hagemeier, M. Dwyer, R. Zivadinov

CNS Drugs, 2019


Ventral posterior substantia nigra iron increases over 3 years in Parkinson's disease


N. Bergsland, R. Zivadinov, F. Schweser, J. Hagemeier, D. Lichter, T. Guttuso

Movement disorders : official journal of the Movement Disorder Society, 2019


Cumulative gadodiamide administration leads to brain gadolinium deposition in early MS


R. Zivadinov, N. Bergsland, J. Hagemeier, D. Ramasamy, M. Dwyer, F. Schweser, C. Kolb, B. Weinstock-Guttman, D. Hojnacki

Neurology, 2019


Overcoming the Rician Noise Bias of T2* Relaxometry with an Artificial Neural Network (ANN).


Schweser F, Jochmann T, Zivadinov R

Proc Intl Soc Mag Reson Med, Proc Intl Soc Mag Reson Med, Montreal, QC, Canada, 2019, p. 4854


Structural and Functional Reorganization of the Brain in Migraine Without Aura


S. Soheili-Nezhad, A. Sedghi, F. Schweser, Amir Eslami Shahr Babaki, N. Jahanshad, P. Thompson, C. Beckmann, E. Sprooten, M. Toghae

Frontiers in Neurology, 2019


Characterization of leptomeningeal inflammation in rodent experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis


Suyog U. Pol, F. Schweser, N. Bertolino, Marilena Preda, M. Sveinsson, Michelle L. Sudyn, Natan Babek, R. Zivadinov

Experimental Neurology, 2019


9.4T Magnetic Resonance Imaging of the Mouse Circle of Willis Enables Serial Characterization of Flow-Induced Vascular Remodeling by Computational Fluid Dynamics.


V. Tutino, H. Rajabzadeh-Oghaz, A. R. Chandra, Liza C. Gutierrez, F. Schweser, Marilena Preda, A. Chien, K. Vakharia, C. Ionita, A. Siddiqui, J. Kolega

Current neurovascular research, 2019


Imaging Decision Making in Reinforcer Pathology: (511792018-001)


A. Mellis, Harshawardhan U. Deshpande, Mikhail N. Koffarnus, J. Lisinski, J. Stein, R. Paluch, M. Stuart, Y. Y. Sze, Mark A Greenawald, F. Schweser, K. Gatchalian, S. LaConte, L. Epstein, W. Bickel

2018


Longitudinal Diffusion Tensor Imaging in Theiler’s Murine Encephalomyelitis Virus Driven Mouse Model of MS Reveals White Matter Change (P2.402)


Ely Cuberos, Suyog U. Pol, Venkatpavanni Punugu, Michelle L. Sudyn, F. Schweser, C. Modica, N. Bertolino, Marilena Preda, M. Dwyer, R. Zivadinov

2018


Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality


F. Schweser, Ana Luiza Raffaini Duarte Martins, J. Hagemeier, F. Lin, Jannis Hanspach, B. Weinstock-Guttman, S. Hametner, N. Bergsland, M. Dwyer, R. Zivadinov

NeuroImage, 2018


Susceptibility Weighted MRI in Rodents at 9.4 T.


F. Schweser, Marilena Preda, R. Zivadinov

Methods in molecular biology, 2018


Thalamic white matter in multiple sclerosis: A combined diffusion‐tensor imaging and quantitative susceptibility mapping study


N. Bergsland, F. Schweser, M. Dwyer, B. Weinstock-Guttman, R. Benedict, R. Zivadinov

Human brain mapping, 2018


Hemostasis biomarkers in multiple sclerosis


N. Ziliotto, F. Bernardi, D. Jakimovski, M. Baroni, G. Marchetti, N. Bergsland, D. Ramasamy, B. Weinstock-Guttman, F. Schweser, P. Zamboni, M. Ramanathan, R. Zivadinov

European journal of neurology, 2018


Evaluation of Leptomeningeal Contrast Enhancement Using Pre-and Postcontrast Subtraction 3D-FLAIR Imaging in Multiple Sclerosis


R. Zivadinov, D. Ramasamy, J. Hagemeier, C. Kolb, N. Bergsland, F. Schweser, M. Dwyer, B. Weinstock-Guttman, D. Hojnacki

American Journal of Neuroradiology, 2018


Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis.


R. Zivadinov, E. Tavazzi, N. Bergsland, J. Hagemeier, F. Lin, M. Dwyer, E. Carl, C. Kolb, D. Hojnacki, D. Ramasamy, J. Durfee, B. Weinstock-Guttman, F. Schweser

Radiology, 2018


Multimodal Imaging of Retired Professional Contact Sport Athletes Does Not Provide Evidence of Structural and Functional Brain Damage


R. Zivadinov, P. Polak, F. Schweser, N. Bergsland, J. Hagemeier, M. Dwyer, D. Ramasamy, J. Baker, J. Leddy, B. Willer

The Journal of head trauma rehabilitation, 2018


Teriflunomide (Aubagio®) decreases microglial density in Theiler’s Murine Encephalomyelitis Virus model of demyelination: Histological approach in combination with neuroimaging (P2.408)


Suyog U. Pol, C. Modica, F. Schweser, M. Sveinsson, Michelle L. Sudyn, N. Bertolino, Marilena Preda, M. Dwyer, J. Hagemeier, Danielle Siebert, R. Zivadinov

2018


Teriflunomide's Effect on Glia in Experimental Demyelinating Disease: A Neuroimaging and Histologic Study


Suyog U. Pol, M. Sveinsson, Michelle L. Sudyn, Natan Babek, Danielle Siebert, N. Bertolino, C. Modica, Marilena Preda, F. Schweser, R. Zivadinov

Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018


Overview of quantitative susceptibility mapping


A. Deistung, F. Schweser, J. Reichenbach

NMR in biomedicine, 2017


Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge


C. Langkammer, F. Schweser, K. Shmueli, C. Kames, Xu Li, Li Guo, C. Milovic, Jinsuh Kim, Hongjiang Wei, K. Bredies, S. Buch, Yihao Guo, Zhe Liu, J. Meineke, Alexander Rauscher, J. Marques, B. Bilgiç

Magnetic Resonance in Medicine, 2017


Effect of teriflunomide on cortex-basal ganglia-thalamus (CxBGTh) circuit glutamatergic dysregulation in the Theiler's Murine Encephalomyelitis Virus mouse model of multiple sclerosis


C. Modica, F. Schweser, Michelle L. Sudyn, N. Bertolino, Marilena Preda, P. Polak, Danielle Siebert, J. Krawiecki, M. Sveinsson, J. Hagemeier, M. Dwyer, Suyog U. Pol, R. Zivadinov

PloS one, 2017


Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): Toward improved atlas‐ and voxel‐based analyses (VBA)


Jannis Hanspach, M. Dwyer, N. Bergsland, Xiang Feng, J. Hagemeier, N. Bertolino, P. Polak, J. Reichenbach, R. Zivadinov, F. Schweser

Journal of magnetic resonance imaging : JMRI, 2017


Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals


J. Hagemeier, M. Ramanathan, F. Schweser, M. Dwyer, F. Lin, N. Bergsland, B. Weinstock-Guttman, R. Zivadinov

NeuroImage: Clinical, 2017


Changes of deep gray matter magnetic susceptibility over 2 years in multiple sclerosis and healthy control brain


J. Hagemeier, R. Zivadinov, M. Dwyer, P. Polak, N. Bergsland, B. Weinstock-Guttman, Joshua Zalis, A. Deistung, J. Reichenbach, F. Schweser

NeuroImage: Clinical, 2017


Longitudinal monitoring of metabolic alterations in TMEV mouse model of multiple sclerosis using 1H-magnetic resonance spectroscopy (P1.388)


Michelle L. Sudyn, F. Schweser, C. Modica, Suyog U. Pol, M. Dwyer, Danielle Siebert, J. Hagemeier, Marilena Preda, N. Bertolino, R. Zivadinov

2017


A comprehensive numerical analysis of background phase correction with V‐SHARP


P. S. Özbay, A. Deistung, Xiang Feng, D. Nanz, J. Reichenbach, F. Schweser

NMR in biomedicine, 2017


Longitudinal Diffusion Tensor Imaging and Quantitative Susceptibility Mapping of encephalomyelitis driven demyelinating rodent brain (P1.403)


Suyog U. Pol, C. Modica, F. Schweser, Michelle L. Sudyn, N. Bertolino, Marilena Preda, M. Dwyer, J. Hagemeier, Danielle Siebert, R. Zivadinov

2017


Serial MRI of leptomeningeal inflammation in rodent experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis (P1.389)


Suyog U. Pol, F. Schweser, N. Bertolino, Marilena Preda, Michele Svienson, Michelle L. Sudyn, Natan Babek, Danielle Siebert, R. Zivadinov

2017


An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM).


Xiang Feng, A. Deistung, M. Dwyer, J. Hagemeier, P. Polak, J. Lebenberg, F. Frouin, R. Zivadinov, J. Reichenbach, F. Schweser

Magnetic resonance imaging, 2017


Quantitative Susceptibility Mapping in Parkinson's Disease


C. Langkammer, L. Pirpamer, S. Seiler, A. Deistung, F. Schweser, Sebastian Franthal, N. Homayoon, P. Katschnig-Winter, M. Koegl-Wallner, T. Pendl, Eva-Maria Stoegerer, K. Wenzel, F. Fazekas, S. Ropele, J. Reichenbach, R. Schmidt, P. Schwingenschuh

PLoS ONE, 2016


Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM).


F. Schweser, A. Deistung, J. Reichenbach

Zeitschrift fur medizinische Physik, 2016


Evolution of Brain Iron Levels in Multiple Sclerosis: A 2-Year Longitudinal Quantitative Susceptibility Mapping Study at 3T (P4.163)


J. Hagemeier, F. Schweser, M. Dwyer, P. Polak, N. Bergsland, B. Weinstock-Guttman, R. Zivadinov

2016


Quantitative Susceptibility Mapping Study of Deep Gray Matter Iron at 3T in Large Cohort of Multiple Sclerosis Patients (P4.162)


J. Hagemeier, Schweser Ferdinand, M. Dwyer, P. Polak, N. Bergsland, B. Weinstock-Guttman, R. Zivadinov

2016


Cerebral Microbleeds in Multiple Sclerosis Evaluated on Susceptibility-weighted Images and Quantitative Susceptibility Maps: A Case-Control Study.


R. Zivadinov, D. Ramasamy, R. Benedict, P. Polak, J. Hagemeier, C. Magnano, M. Dwyer, N. Bergsland, N. Bertolino, B. Weinstock-Guttman, C. Kolb, D. Hojnacki, D. Utriainen, E. Haacke, F. Schweser

Radiology, 2016


An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping


S. Robinson, K. Bredies, Diana Khabipova, B. Dymerska, J. Marques, F. Schweser

NMR in biomedicine, 2016


Quantitative Susceptibility Mapping Indicates a Disturbed Brain Iron Homeostasis in Neuromyelitis Optica – A Pilot Study


T. Doring, Vanessa Granado, F. Rueda, A. Deistung, J. Reichenbach, G. Tukamoto, E. Gasparetto, F. Schweser

PloS one, 2016


Effects of diet on brain iron levels among healthy individuals: an MRI pilot study


J. Hagemeier, Olivia Tong, M. Dwyer, F. Schweser, M. Ramanathan, R. Zivadinov

Neurobiology of Aging, 2015


Quantitative assessment of microvasculopathy in arcAβ mice with USPIO-enhanced gradient echo MRI


J. Klohs, A. Deistung, G. D. Ielacqua, A. Seuwen, D. Kindler, F. Schweser, M. Vaas, A. Kipar, J. Reichenbach, M. Rudin

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2015


Quantitative Susceptibility Mapping: Concepts and Applications


J. Reichenbach, F. Schweser, B. Serres, A. Deistung

Clinical Neuroradiology, 2015


SHARP edges: Recovering cortical phase contrast through harmonic extension


R. Topfer, F. Schweser, A. Deistung, J. Reichenbach, A. Wilman

Magnetic Resonance in Medicine, 2015


P21. Susceptibility-weighted imaging provides insight into white matter damage in amyotrophic lateral sclerosis


T. Prell, V. Hartung, F. Tietz, S. Penzlin, B. Ilse, F. Schweser, A. Deistung, M. Bokemeyer, J. Reichenbach, O. Witte, J. Grosskreutz

Clinical Neurophysiology, 2015


Susceptibility-Weighted Imaging Provides Insight into White Matter Damage in Amyotrophic Lateral Sclerosis


T. Prell, V. Hartung, F. Tietz, S. Penzlin, B. Ilse, F. Schweser, A. Deistung, M. Bokemeyer, J. Reichenbach, O. Witte, J. Grosskreutz

PloS one, 2015


Brain iron quantification by MRI in mitochondrial membrane protein-associated neurodegeneration under iron-chelating therapy


U. Löbel, F. Schweser, M. Nickel, A. Deistung, R. Grosse, C. Hagel, J. Fiehler, A. Schulz, M. Hartig, J. Reichenbach, A. Kohlschütter, J. Sedlacik

Annals of clinical and translational neurology, 2014


High-Resolution MR Imaging of the Human Brainstem In vivo at 7 Tesla


A. Deistung, A. Schäfer, F. Schweser, Uta Biedermann, D. Güllmar, R. Trampel, R. Turner, J. Reichenbach

Front. Hum. Neurosci., 2013


Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma


A. Deistung, F. Schweser, B. Wiestler, M. Abello, Matthias Roethke, F. Sahm, W. Wick, A. Nagel, S. Heiland, H. Schlemmer, M. Bendszus, J. Reichenbach, A. Radbruch

PloS one, 2013


Sections of MR images of the glioblastoma presented in Figure 2.


A. Deistung, F. Schweser, B. Wiestler, M. Abello, Matthias Roethke, F. Sahm, W. Wick, A. Nagel, S. Heiland, H. Schlemmer, M. Bendszus, J. Reichenbach, A. Radbruch

2013


Images of a 49 year-old man with a glioblastoma with an oligodendroglial component after radiochemotherapy.


A. Deistung, F. Schweser, B. Wiestler, M. Abello, Matthias Roethke, F. Sahm, W. Wick, A. Nagel, S. Heiland, H. Schlemmer, M. Bendszus, J. Reichenbach, A. Radbruch

2013


Images of two patients who were treated with bevacizumab after completion of radiochemotherapy.


A. Deistung, F. Schweser, B. Wiestler, M. Abello, Matthias Roethke, F. Sahm, W. Wick, A. Nagel, S. Heiland, H. Schlemmer, M. Bendszus, J. Reichenbach, A. Radbruch

2013


Comparison of Susceptibility Weighted Imaging and TOF-Angiography for the Detection of Thrombi in Acute Stroke


A. Radbruch, J. Mucke, F. Schweser, A. Deistung, P. Ringleb, C. Ziener, Matthias Roethke, H. Schlemmer, S. Heiland, J. Reichenbach, M. Bendszus, S. Rohde

PloS one, 2013


Toward online reconstruction of quantitative susceptibility maps: Superfast dipole inversion


F. Schweser, A. Deistung, K. Sommer, J. Reichenbach

Magnetic resonance in medicine, 2013


2336 Which parameters are optimal ?-A comprehensive numerical analysis of background phase correction with SHARP


F. Schweser, Senay Özbay, A. Deistung, E. Gomez, Xiang Feng, D. Nanz, J. Reichenbach

2013


Improved deep gray matter segmentation using anatomical information from quantitative susceptibility maps


F. Schweser, Xiang Feng, Rosa Mach Batlle, D. Güllmar, A. Deistung, M. Dwyer, R. Zivadinov, J. Reichenbach

2013


Effect of Age on MRI Phase Behavior in the Subcortical Deep Gray Matter of Healthy Individuals


J. Hagemeier, M. Dwyer, N. Bergsland, F. Schweser, C. Magnano, M. Heininen-Brown, D. Ramasamy, E. Carl, C. Kennedy, R. Melia, P. Polak, A. Deistung, J. Geurts, J. Reichenbach, R. Zivadinov

American Journal of Neuroradiology, 2013


Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging


J. Klohs, Igna Wojtyna Politano, A. Deistung, J. Grandjean, A. Drewek, M. Dominietto, R. Keist, F. Schweser, J. Reichenbach, R. Nitsch, I. Knuesel, M. Rudin

PloS one, 2013


2809 A Monte Carlo method for overcoming the edge artifacts in MRI-based electrical conductivity mapping


Li Huang, F. Schweser, K. Herrmann, M. Krämer, A. Deistung, J. Reichenbach

2013


Longitudinal Evaluation of Brain Iron Depositions in a Patient With Confirmed c19orf12 Mutation Using R2* Relaxometry and Quantitative Susceptibility Mapping


U. Löbel, A. Meyer-Osores, J. Sedlacik, F. Schweser, R. Grosse, A. Deistung, J. Reichenbach, A. Schulz, M. Hartig, A. Kohlschütter

2013


Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study


C. Langkammer, F. Schweser, N. Krebs, A. Deistung, W. Goessler, E. Scheurer, K. Sommer, G. Reishofer, K. Yen, F. Fazekas, S. Ropele, J. Reichenbach

NeuroImage, 2012


Non-invasive Investigation of the Compartmentalization of Iron in the Human Brain


F. Schweser, J. Sedlacik, A. Deistung, J. Reichenbach

2012


Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain


F. Schweser, K. Sommer, A. Deistung, J. Reichenbach

NeuroImage, 2012


Evidence of tissue conductivity as a source of signal inhomogeneities in Ultrashort Echo Time ( UTE ) imaging


F. Schweser, Li Huang, K. Herrmann, M. Krämer, A. Deistung, J. Reichenbach

2012


Establishing MRI phase , abnormal MRI phase , and volume behavior in the subcortical deep gray matter of healthy individuals


J. Hagemeier, M. Dwyer, N. Bergsland, F. Schweser, C. Magnano, M. Heininen-Brown, D. Ramasamy, E. Carl, C. Kennedy, Mariya Cherneva, R. Melia, P. Polak, A. Deistung, J. Reichenbach, R. Zivadinov

2012


Improving the quality of quantitative susceptibility maps


J. Reichenbach, F. Schweser, K. Sommer, A. Deistung

2012


On the influence of particle size in MR iron quantification


J. Sedlacik, J. Reichenbach, F. Schweser

2012


Fast Susceptibility Weighted Imaging ( SWI ) using PROPELLER-EPI


M. Krämer, A. Deistung, F. Schweser, J. Reichenbach

2012


Anatomical Assessment of Brain Structures with Quantitative Susceptibility Mapping at 7T


A. Deistung, A. Schäfer, F. Schweser, K. Sommer, R. Turner, J. Reichenbach

2011


Der Medical Computation Server


Bw Lehr, Ferdinand Schweser, A. Deistung, D. Güllmar, J. Reichenbach

2011


SIAMESE-TWINS: Quantitative Kartierung von Eisen und Myelin im menschlichen Gehirn


Ferdinand Schweser, A. Deistung, Bw Lehr, J. Reichenbach

2011


Improved Quantitative Susceptibility Mapping ( QSM ) with HEIDI


F. Schweser, K. Sommer, A. Deistung, J. Reichenbach

2011


Investigating the clinical potential of Quantitative Susceptibility Mapping ( QSM )-initial results in pediatric patients


F. Schweser, M. Stenzel, A. Deistung, K. Sommer, H. Mentzel, J. Reichenbach

2011


Detection of Cerebral Microbleeds with Quantitative Susceptibility Mapping in the Arcabeta Mouse Model of Cerebral Amyloidosis


J. Klohs, A. Deistung, F. Schweser, J. Grandjean, M. Dominietto, C. Waschkies, R. Nitsch, I. Knuesel, J. Reichenbach, M. Rudin

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2011


Investigating non-susceptibility contributions to GRE phase contrast


K. Sommer, F. Schweser, A. Deistung, J. Reichenbach

2011


Characterization of Lesions and Regional Brain Tissue of ArcAbeta Mice Based on Magnetic Susceptibility


A. Deistung, J. Klohs, F. Schweser, J. Grandjean, M. Dominietto, C. Waschkies, R. Nitsch, M. Rudin, J. Reichenbach

2010


MeCS – Integrating prototype processing programs into clinical routine


B. W. Lehr, F. Schweser, A. Deistung, D. Güllmar, J. Reichenbach

2010


Differentiation between diamagnetic and paramagnetic cerebral lesions based on magnetic susceptibility mapping.


F. Schweser, A. Deistung, B. W. Lehr, J. Reichenbach

Medical physics, 2010


SEMI-TWInS : Simultaneous Extraction of Myelin and Iron using a T 2 *-Weighted Imaging Sequence


F. Schweser, A. Deistung, B. W. Lehr, K. Sommer, J. Reichenbach

2010


Non-linear evolution of GRE phase as a means to investigate tissue microstructure


F. Schweser, A. Deistung, D. Güllmar, M. Atterbury, B. W. Lehr, K. Sommer, J. Reichenbach

2010


Is iron the source of post mortem susceptibility contrast in the brain ?


F. Schweser, C. Langkammer, A. Deistung, N. Krebs, W. Goessler, E. Scheurer, K. Yen, F. Fazekas, J. Reichenbach, S. Ropele

2010


Quantitative magnetic susceptibility mapping ( QSM ) in breast disease reveals additional information for MR-based characterization of carcinoma and calcification


F. Schweser, K. Herrmann, A. Deistung, M. Atterbury, P. Baltzer, H. Burmeister, W. Kaiser, J. Reichenbach

2010


On the impact of regularization and kernel type on SHARP-corrected GRE phase images


F. Schweser, K. Sommer, M. Atterbury, A. Deistung, B. W. Lehr, J. Reichenbach

2010


Pre-Processing Phase : A Quantitative Analysis of Established Methods in SWI


F. Schweser, A. Rodriguez-Ruano, A. Deistung, B. W. Lehr, M. Desco, J. Reichenbach

2009


Local SAR constrained Hotspot Reduction by Temporal Averaging


I. Graesslin, C. Steiding, J. Weller, S. Biederer, D. Brunner, H. Homann, F. Schweser, U. Katscher, K. Pruessmann, P. Boernert

2009


Calculation of the Magnetic Susceptibility from Susceptibility Weighted Phase Images


A. Deistung, B. W. Lehr, F. Schweser, J. Reichenbach

2008


SAR in Parallel Transmission


I. Graesslin, D. Glaesel, S. Biederer, F. Schweser, P. Vernickel, Peter Börnert, B. Annighoefer, H. Stahl, H. Dingemans, G. Mens, P. Harvey, U. Katscher

2008


SAR Hotspot Reduction by Temporal Averaging in Parallel Transmission


I. Graesslin, J. Weller, F. Schweser, B. Annighoefer, S. Biederer, U. Katscher, T. Nielsen, P. Harvey, P. Börnert

2008


Comprehensive RF Safety Concept for Parallel Transmission Systems


I. Graesslin, D. Glaesel, S. Biederer, P. Vernickel, U. Katscher, F. Schweser, B. Annighoefer, H. Dingemans, G. Mens, G. V. Yperen, P. Harvey

2007


A Minimum SAR RF Pulse Design Approach for Parallel Tx with Local Hot Spot Suppression and Exact Fidelity Constraint


I. Graesslin, F. Schweser, B. Annighoefer, S. Biederer, U. Katscher, K. Nehrke, H. Stahl, H. Dingemans, G. Mens, P. Börnert

2007


Iterative solution of Transmit SENSE using a conjugate gradient method


I. Graesslin, U. Katscher, F. Schweser, M. Niemann, P. Börnert

2005




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