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The Lab for Advanced MRI
Research in our lab resides on the interface between developing novel methodologies for non-invasive MRI, and applying them to study tissues’ structure and function in biology and medicine. One main research objective is to characterize the myeloarchitecture of the central nervous system, in order to gain more insight into the pathophysiology of multiple sclerosis and other demyelinating diseases.
To achieve this we develop new MR-based techniques, spanning several aspects of this imaging modality:
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Design of new imaging protocols based on manipulation of spin dynamics and interactions
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Quantitative encoding of MR parameters
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Modeling sub-voxel interactions
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Accelerated and multiparametric acquisition schemes
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Customized signal processing and image reconstruction algorithms.
Recent Publications
Affiliations
Schmidt J, Radunsky D, Scheibe P, Jäger C, Ben-Eliezer N, Trampel R, Weiskopf N. High-resolution quantitative T2 mapping of the human brain at 7 T using a multi-echo spin-echo sequence and dictionary-based modeling. Imaging Neurosci, 2025 Jul 3. doi: 10.1162/IMAG.a.81
Omer N, Wilczynski E, Zlotzover S, Helft C, Blumenfeld-Katzir T, Ben-Eliezer N. Validation of a data-driven multicomponent T2 analysis for quantifying myelin content in the cuprizone mouse model of multiple sclerosis. PLoS One, 2025 May 21. doi: 10.1371/journal.pone.0323614
Doniza L, Lee M, Blumenfeld-Katzir T, Artzi M, Ben-Bashat D, Aizenstein O, Radunsky D, Kirkham F, Thomas G, Weil RS, Shmueli K, Ben-Eliezer N. Noise Propagation and MP-PCA Image Denoising for High-Resolution Quantitative R2*, T2* and Magnetic Susceptibility Mapping (QSM). IEEE Trans Biomed Eng, 2025 May 2. doi: 10.1109/TBME.2025.3566561
Haker R, Helft C, Natali Shamir E, Shahar M, Solomon H, Omer N, Blumenfeld‐Katzir T, Zlotzover S, Piontkewitz Y, Weiner I, Ben‐Eliezer N. Characterization of brain abnormalities in lactational neurodevelopmental poly I:C rat model of schizophrenia and depression using machine‐learning and quantitative MRI. J Magn Reson Imaging, 2024 Aug 14. doi: 10.1002/jmri.29634
Zlotzover S, Omer N, Radunsky D, Stern N, Blumenfeld-Katzir T, Ben-Ami Reichman D, Shrot S, Hoffmann C, Ben-Eliezer N. Improved myelin water imaging using B1+ correction and data-driven global feature extraction: Application on people with ms. Imaging Neurosci, 2024; 2: 1–17. doi: 10.1162/imag_a_00254
Radunsky D, Solomon C, Stern N, Blumenfeld-Katzir T, Filo S, Mezer A, Karsa A, Shmueli K, Soustelle L, Duhamel G, Girard OM, Kepler G, Shrot S, Hoffmann C, Ben-Eliezer N. A comprehensive protocol for quantitative magnetic resonance imaging of the brain at 3 Tesla. PLoS One, 2024 May 30. doi: 10.1371/journal.pone.0297244
Holodov M, Markus I, Solomon C, Shahar S, Blumenfeld-Katzir T, Gepner Y, Ben-Eliezer N. Probing muscle recovery following downhill running using precise mapping of MRI T2 relaxation times. Magn Reson Med, 2023 Jun 22. doi: 10.1002/mrm.29765
Nassar J, Le Fur Y, Radunsky D, Blumenfeld-Katzir T, Bendahan D, Ben-Eliezer N. Estimation of sub-voxel fat infiltration in neurodegenerative muscle disorders using quantitative multi T2-analysis and automatic deep learning segmentation of muscle anatomy. NMR Biomed, 2023, e4947, doi: 10.1002
Grzeda D, Galun M, Omer N, Blumenfeld-Katzir T, Radunsky D, Otazo R, Ben-Eliezer N. Fast and accurate T2 mapping using Bloch simulations and low-rank plus sparse matrix decomposition. Magn Reson Imaging. 2023 Jan 14;98:66-75. doi: 10.1016/j.mri.2023.01.007.
Sagol school of Neuroscience
Tel Aviv University
