Automated dynamic motion correction using normalized gradient fields for ⁸²rubidium PET myocardial blood flow quantification.

ABSTRACT:

Background

Patient motion can lead to misalignment of left ventricular (LV) volumes-of-interest (VOIs) and subsequently inaccurate quantification of myocardial blood flow (MBF) and flow reserve (MFR) from dynamic PET myocardial perfusion images. We aimed to develop an image-based 3D-automated motion-correction algorithm that corrects the full dynamic sequence for translational motion, especially in the early blood phase frames (~ first minute) where the injected tracer activity is transitioning from the blood pool to the myocardium and where conventional image registration algorithms have had limited success.

Methods

We studied 225 consecutive patients who underwent dynamic rest/stress rubidium-82 chloride (⁸²Rb) PET imaging. Dynamic image series consisting of 30

SUBMITTER: Lee BC 

PROVIDER: S-EPMC6504625 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature