Saikat T Sengupta, Ph.D.

Research Assistant Professor

saikat.sengupta@vanderbilt.edu
Faculty Appointments
Research Assistant Professor of Radiology and Radiological Sciences
Education
Ph.D., Biomedical Engineering, Vanderbilt University, Nashville, TennesseeM.S., Biomedical Engineering, University of Memphis, Memphis, TennesseeB.E., Electrical Engineering, University of Mumbai, Mumbai, India
Research Description
Saikat Sengupta, Ph.D., earned his M.S. in Biomedical Engineering from the University of Memphis and his Ph.D. in Biomedical Engineering from Vanderbilt University. He completed a postdoctoral fellowship with Vanderbilt University Institute of Imaging Science and joined the Vanderbilt faculty as Research Assistant Professor in 2015. Dr. Sengupta’s current research involves developing motion and field inhomogeneity robust methods for high field structural and functional MRI.

Section: Vanderbilt University Institute of Imaging Science
Publications
Smith DS, Sengupta S, Smith SA, Brian Welch E. Trajectory optimized NUFFT: Faster non-Cartesian MRI reconstruction through prior knowledge and parallel architectures. Magn Reson Med [print-electronic]. 2019 Mar; 81(3): 2064-71. PMID: 30329181, PMCID: PMC6347498, DOI: 10.1002/mrm.27497, ISSN: 1522-2594.

Chen Y, Godage IS, Sengupta S, Liu CL, Weaver KD, Barth EJ. MR-conditional steerable needle robot for intracerebral hemorrhage removal. Int J Comput Assist Radiol Surg [print-electronic]. 2019 Jan; 14(1): 105-15. PMID: 30173334, PII: 10.1007/s11548-018-1854-z, DOI: 10.1007/s11548-018-1854-z, ISSN: 1861-6429.

Sengupta S, Smith DS, Smith AK, Welch EB, Smith SA. Dynamic Imaging of the Eye, Optic Nerve, and Extraocular Muscles With Golden Angle Radial MRI. Invest. Ophthalmol. Vis. Sci. 2017 Aug 8/1/2017; 58(10): 4390–4398. PMID: 28813574, PMCID: PMC5559179, PII: 2649240, DOI: 10.1167/iovs.17-21861, ISSN: 1552-5783.

Sengupta S, Smith DS, Gifford A, Welch EB. Whole-body continuously moving table fat-water MRI with dynamic B0 shimming at 3 Tesla. Magn Reson Med [print-electronic]. 2016 Jul; 76(1): 183-90. PMID: 26198380, PMCID: PMC4775426, DOI: 10.1002/mrm.25848, ISSN: 1522-2594.

Sengupta S, Smith DS, Welch EB. Continuously moving table MRI with golden angle radial sampling. Magn Reson Med [print-electronic]. 2015 Dec; 74(6): 1690-7. PMID: 25461600, PMCID: PMC4452468, DOI: 10.1002/mrm.25531, ISSN: 1522-2594.

Sengupta S, Tadanki S, Gore JC, Welch EB. Prospective real-time head motion correction using inductively coupled wireless NMR probes. Magn Reson Med [print-electronic]. 2014 Oct; 72(4): 971-85. PMID: 24243810, PMCID: PMC4304771, DOI: 10.1002/mrm.25001, ISSN: 1522-2594.

Sengupta S, Avison MJ, Gore JC, Brian Welch E. Software compensation of eddy current fields in multislice high order dynamic shimming. J. Magn. Reson [print-electronic]. 2011 Jun; 210(2): 218-27. PMID: 21458339, PMCID: PMC3098125, PII: S1090-7807(11)00090-5, DOI: 10.1016/j.jmr.2011.03.007, ISSN: 1096-0856.

Sengupta S, Welch EB, Zhao Y, Foxall D, Starewicz P, Anderson AW, Gore JC, Avison MJ. Dynamic B0 shimming at 7 T. Magn Reson Imaging [print-electronic]. 2011 May; 29(4): 483-96. PMID: 21398062, PMCID: PMC3078963, PII: S0730-725X(11)00037-3, DOI: 10.1016/j.mri.2011.01.002, ISSN: 1873-5894.

Available Postdoctoral Position Details
Posted: 2/18/2019

A 3 year Postdoctoral Fellow position is available in the Vanderbilt University Institute of Imaging Science (VUIIS) in the area of high field Magnetic Resonance Imaging (MRI). The primary appointment will be in the VUMC Department of Radiology. Main effort in this project will be towards developing field correction coils for interventional MRI. The candidate will work with collaborators in the Departments of Mechanical Engineering and Interventional Radiology, with the long term aim of driving basic technical developments to the clinic. Other effort will be towards developing methods for robust high field (3 and 7 Tesla) MRI along with working towards the candidate's long term career goals.

PhD in Biomedical/Electrical Engineering or related field is required. Candidates with research experience in MRI are preferred but others with backgrounds in Electrical/Biomedical Engineering and Physics with interests in MRI are welcome. Proficiency in Matlab is required. Experience in instrumentation and C/C++ programming is a plus.