Sotirios A. Tsaftaris1,2, Xiangzhi Zhou2,
Richard Tang2, Rohan Dharmakumar2
1Electrical Engineering and Computer
Science, Northwestern University, Evanston, IL, United States; 2Radiology,
Northwestern University, Chicago, IL, United States
It
is particularly important for the evaluation of cardiac phase-resolved
myocardial blood-oxygen-level-dependent (BOLD) MRI studies, to robustly and
reproducibly identify end-systolic (ES) and end-diastolic (ED). Most
automated methods rely on identifying the minimum and maximum of the blood
pool area in the Left Ventricle chamber, but they are computationally
intensive, susceptible to noise, and require prior localization and
segmentation of the chamber. The purpose of this work is to develop automated
methods to facilitate in the robust and reproducible evaluation of cardiac
phase-resolved myocardial BOLD MRI through identification of ES and ED
images.
Keywords