Mani Vembar

TL;DR: The model-based approach for the fully automatic segmentation of the whole heart (four chambers, myocardium, and great vessels) from 3-D CT images shows better interphase and interpatient shape variability characterization than commonly used principal component analysis.

TL;DR: A dynamic model is described which enables us to capture the same physiological phase or "state" of the anatomy during the cardiac cycle as the instantaneous heart rate varies during the spiral scan, and correlate image quality of different parts of the coronary anatomy with phases at which minimum velocities occur.

TL;DR: This work presents a heart model comprising the four heart chambers and the attached great vessels and matches the heart model automatically to cardiac CT angiography images in a multi-stage process using parametric as well as deformable mesh adaptation techniques.

TL;DR: The semiquantitative parameters upslope and peak enhancement and the quantitative parameter MBF showed similar high diagnostic accuracy as compared with coronary angiography and fractional flow reserve measurement.

TL;DR: Iterative reconstruction (IR) can reduce radiation dose in myocardial perfusion CT and improve SNR and CNR, facilitating radiation dose savings in CT-MPI without influencing diagnostic quality.