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:
Design of new imaging protocols based on manipulation of spin dynamics and interactions
Quantitative encoding of MR parameters
Modeling sub-voxel interactions
Accelerated and multiparametric acquisition schemes
Customized signal processing and image reconstruction algorithms.
Markus I, Constantini K, Goldstein N, Amedi R, Bornstein Y, Stolkovsky Y, Vidal M, Lev-ari S, Balaban R, Leibou S, Blumenfeld–Katzir T, Ben-Eliezer N, Peled D, Assaf Y, Jensen D, Constantini N, Dubnov G, Halperin I, Gepner Y. Recovery from exercise and muscle damage in young versus active middle-aged men. Front. Physiol., 13 June 2022
Sec. Exercise Physiology. doi: org/10.3389/fphys.2022.916924.
Omer N, Bnaiahu N, Wilczynski E, Levy S, Blumenfeld-Katzir T, Ben-Eliezer N. Correcting for imaging gradients–related bias of T2relaxation times at high-resolution MRI. Magn Reson Med. 2022. Oct;88(4):1806-1817. doi: 10.1002/mrm.29319.
Shmueli OZ, Solomon C, Ben-Eliezer N*, Greenspan H* (joint last authorship). Deep Learning Based Multiple Sclerosis Lesion Detection Utilizing Synthetic Data Generation and Soft Attention Mechanism. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis 2022. 120330R: 191-199. doi: 10.1117/12.2613283.
Omer N, Galun M, Stern N, Blumenfeld-Katzir T, Ben-Eliezer N. Data driven algorithm for myelin water imaging: Probing sub-voxel compartmentation based on identification of spatially global tissue features. Magn. Reson. Med. 2022. v87(5): 2521-2535.
Shpringer G*, Bendahan D, Ben-Eliezer N. Accelerated reconstruction of T2 maps based on the echo modulation curve signal model, and using PCA and gradient-descent search algorithms. Magnetic Resonance Imaging Journal, 2022. v87:56-66, doi: 10.1016/j.mri.2021.12.006.
Chechik Y, Beit Ner E, Lysyy O, Stern N, Agar G, Beer Y, Ben-Eliezer N*, Lindner D* (joint last authorship). Post-run T2 mapping changes in knees of adolescent basketball players. Cartilage, 2021. v. 13:707S-717S, doi: 10.1177/19476035211021891.
Radunsky D, Nassar J, Solomon C, Stern N, Otazo R, Litwiller D, Tsarfaty G, Blumenfeld-Katzir T, Ben-Eliezer N. Quantitative platform for accurate and reproducible assessment of MRI’s transverse (T2) relaxation time. NMR in Biomed. 2021. v34(8):e4537, doi: 10.1002/nbm. 4537.
Malovani C, Friedman N, Ben-Eliezer N, Tavor I. Tissue Probability Based Registration of Diffusion Weighted Magnetic Resonance Imaging. J Magn Reson Imag. 2021. doi: 10.1002/jmri.27654.
Ben-Eliezer N, Lysenko M, Biton EI, Garbow JR, Neeman M. Novel multimodal molecular imaging of Vitamin H (Biotin) transporter activity in the murine placenta. Sci Rep 10, 20767 (2020). doi: 10.1038/s41598-020-77704-9.
Lindner D, Beer Y,Tal S, Lysyy O, Blumenfeld-Katzir T, Ben-Eliezer N, Agar G. T2 Mapping Values in Postmeniscectomy Knee Articular Cartilage after Running: Early Signs of Osteoarthritis? The Journal of Knee Surgery. 2020 Oct 27.
Amer R, Nassar J, Bendahan D, Greenspan H, Ben-Eliezer N. Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, 2019, p. 2225, Shen Zhen, China.
Dormont D, Ben-Eliezer N, Burgos N, Colliot O, Fallani FDV; Dhenain M, Durrleman S, Epelbaum S, Habert MO, Le Ber I, Isabelle M, Jean F, Menu Y, Oppenheim C, Wadghiri YZ. Tribute to Anne Bertrand (1978-2018): Neuroradiologist, scientist, teacher and friend In Memoriam. Journal of neuroradiology. 2019 46:155-159.
Motiei M, Dreifuss T,Sadan T, Omer N, Blumenfeld-Katzir T, Fragogeorgi E, Loudos G, Popovtzer R, Ben-Eliezer N. Trimodal Nanoparticle Contrast Agent for CT, MRI and SPECT Imaging: Synthesis and Characterization of Radiolabeled Core/Shell Iron Oxide@Gold Nanoparticles. Chemistry Letters, 2019, v. 48(3) p. 291–294.
Radunsky D, Blumenfeld-Katzir T, Volovyk O, Tal A, Barazany D, Tsarfaty G, Ben-Eliezer N. Analysis of magnetization transfer (MT) influence on quantitative mapping of T2 relaxation time. Magn Reson Med, 2019 , 82(1):145-158.
Ben-Eliezer N, Raya JG, Babb JS, Youm T, Sodickson DK Lattanzi R. A new method for cartilage evaluation of femoroacetabular impingement using quantitative T2 Magnetic Resonance Imaging: preliminary validation against arthroscopic findings. Cartilage, 2019
Shepherd TM, Kirov I, Charlson E, Babb J, Bruno M, Carluccio G, Block KT, Sodickson DK, Ben-Eliezer N. New rapid, accurate T2 quantification detects pathology in normal-appearing brain regions of relapsing-remitting MS patients. Neuroimage Clin. 2017, 14: 363–370.
Hoch M, Chung S, Ben-Eliezer N, Bruno M, Fatterpekar G, Shepherd T. New Clinically-Feasible 3-T MRI Protocol to Discriminate Internal Brain Stem Anatomy. American Journal of Neuroradiology, 2016, 36(7): 1058-65.
Sodickson DK, Feng L, Knoll F, Cloos M, Ben-Eliezer N, Axel L, Chandarana H, Block TK, Otazo R. The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. Proc SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging; doi: 10.1117/12.2085033.
Ben-Eliezer N, Sodickson DK, Shepherd T, Wiggins GC, Block TK. Accelerated and motion-robust in vivo T2 mapping from radially undersampled data using Bloch-simulation-based iterative reconstruction. Magn Reson Med, 2016, 75(3): 1346-54.