Methodist Hospital / University of Houston / Johns Hopkins University / /
IndustryTerm
ultrasound imaging / energy function / magnetic resonance imaging guidance / risk algorithms / employed interventional tools / tissue tracking algorithms / invasive image-guided robot-assisted systems / imaging / robotic systems / energy / /
Organization
Medical Robotics Lab / University of Houston / Houston / Machine Intelligence / National Science Foundation / Department of Computer Science / Methodist DeBakey Heart & Vascular Center / Methodist Hospital / Computer Graphics and Interactive Media Lab / Johns Hopkins University / /
Person
S.L. Prince / M.J. Mack / M.A. Herbert / Karen Chin / W.H. Ryan / T.M. Dewey / Nikhil V / D. Brown / Ct / /
Position
radius Rt / Rt / Representative / /
ProvinceOrState
Texas / Maryland / /
PublishedMedium
Magnetic Resonance Imaging / Computer Graphics / /
Technology
radiation / x-ray / tissue tracking algorithms / Magnetic Resonance Imaging / risk algorithms / tomography / system of the MRI / Medical Robotics / ultrasound / MRI / /
EXTRACTING GEOMETRIC FEATURES OF AORTIC VALVE ANNULUS MOTION FROM DYNAMIC MRI FOR GUIDING INTERVENTIONS Nikhil V. Navkar1,2 , Erol Yeniaras2 , Dipan J. Shah3 , Nikolaos V. Tsekos2 , Zhigang Deng1 1 Computer Graphics and