Date of Award
Master of Science in Computer Science
School of Computer Science and Engineering
Schubert, Keith Evan
Qiao, Haiyan, and Schulte, Reinhard
The purpose of this study was to develop and implement a numerical software based method that can accurately correct the distortion of MR images generated by 3T MRI scanner. To accomplish this, a new phantom has been designed from scratch to capture the distortions inside 3T MRI scanner. An algorithm has been developed, based on the unique geometric feature of the new phantom, to estimate the location of gradient isocenter of the magnetic field inside 3T MRI scanner for the first time.
Cai, Zongqi, "A new phantom and gradient isocenter estimation for magnetic resonance imaging distortion correction" (2013). Theses Digitization Project. 4217.