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.
Recent Publications
- 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.
- Ben-Eliezer N, Sodickson DK, Block TK. Rapid and Accurate T2 Mapping from Multi Spin Echo Data Using Bloch-Simulation-Based Reconstruction, Magn Reson Med, 2015, 73(2): 809-17.
Recent News
MINDtalk, a unique project where groundbreaking research is presented by 10 chosen PhD students each year at TAU. Congratulations to Dvir Radunsky!