Biosketch
Neville Gai received his Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Bombay (Mumbai), Master's degree in Electrical & Computer Engineering from the State University of New York, Buffalo, and his doctorate in Biomedical Engineering from the University of Pennsylvania, Philadelphia. After a short stint as a Research Associate at Weill Medical College of Cornell University, New York, Neville joined General Electric Medical Systems (GE Healthcare), Waukesha, WI as an MR Applications Development Engineer where he was responsible for technical developments in high resolution and real-time cardiac imaging as well as optimization techniques for high field body MR imaging. He is currently a Staff Scientist in the Radiology Department at the NIH Clinical Center supporting clinical scanning and research. His first author publications reflect his wide variety of interests related to MR physics in general. In particular, these include pulse sequence design/enhancements and simulations for improved contrast, speed, selectivity in MR imaging applications; quantitative cardiac and neuro MR; cardiac diffusion imaging; artifact reduction; contrast agent free quantitative brain perfusion techniques based on arterial spin labeling.
Awards
University of Pennsylvania Research Fellowship
University of Washington, Center for Bioengineering Research Fellowship
State University of New York at Buffalo, Research Assistantship
J. N. Tata Endowment Scholarship for the Higher Education of Indians
General Electric Management Awards
Selected Publications:
Gai N, Stehning C, Nacif M, Bluemke D. Characterization of modified Look Locker (MOLLI) T1 mapping using Bloch simulations and corroboration with scan measurements. Procs. ISMRM, 19th Annual Meeting, Montréal, Canada, 2011.
Gai N, Talagala L, Butman J. Whole brain cerebral blood flow mapping using 3D echo planar imaging and pulsed arterial tagging. Journal of Magnetic Resonance Imaging, Vol. 33(2), pp. 287-295, 2011.
Gai N, Turkbey E, Nazarian S, van der Geest R, Liu C, Lima J, Bluemke D. T1 mapping of the gadolinium enhanced myocardium: adjustment for factors affecting inter-patient comparison. Magnetic Resonance in Medicine, Vol. 65(5), pp. 1407-15, 2011.
Gai N, Butman J. Modulated repetition time Look-Locker (MORTLL): a method for rapid high resolution three-dimensional T1 mapping. Journal of Magnetic Resonance Imaging. Vol. 30(3), pp. 640-648, 2009.
Yao L, Gai N. Median nerve cross sectional area and MRI diffusion characteristics: normative values at the carpal tunnel, Skeletal Radiology, Vol. 38(4), pp. 355-361, 2009.
Gai N, Zur Y. Design and optimization for variable rate selective excitation using an analytic RF scaling function. Journal of Magnetic Resonance, Vol. 189(1), pp. 78-89, 2007.
Gai N, Yao L. SAR Reduction strategies and cartilage-synovial fluid contrast in turbo spin-echo: simulations and measurements at 3T. Procs. RSNA, 92nd Annual Meeting, Chicago, 2006.
Gai N, King KF, Saranathan M, Zur Y. Design and application of a robust spectral-spatial RF pulse. Procs. ISMRM, Ninth Annual Meeting, Glasgow, UK, 2001.
Cline HE, Zong X, Gai N. Design of a logarithmic k-space spiral trajectory. Magnetic Resonance in Medicine, Vol. 46, No. 6, pp. 1130-1135, 2001.
Gai N, Axel L. Characterization of and correction for artifacts in linogram MRI. Magnetic Resonance in Medicine, Vol. 37, No. 2, pp. 275-284, 1997.
Gai N, Axel L. Correction of motion artifacts in linogram and projection reconstruction MRI using geometry and consistency constraints. Medical Physics, Vol. 23, No. 2, pp. 251-262, 1996.
Herman GT, De Pierro A, Gai N. On methods for maximum a posteriori image reconstruction with a normal prior. Journal of Visual Communication and Image Representation, Vol. 3(4), pp. 316-324, 1992.
Acharya R, Gai N. PET reconstruction using multisensor fusion techniques. Procs. SPIE. pp. 207-221. San Jose, CA, 1991.
Patent
Spiral Trajectory Calculations for MRI. US6400152, 2002
Correction for Gradient Amplifier Hysteresis in Acquired MRI Data. US6291997, 2001
Myocardial fibers passing through a single ROI placed in the endocardium of the left ventricle.
Fibers of the left ventricle from diffusion tensor imaging at 3T. Helical fiber structure at the apex is prominent.
