Fully automatic segmentation of 4D MRI for cardiac functional measurements.

ABSTRACT:

Purpose

Segmentation of cardiac medical images, an important step in measuring cardiac function, is usually performed either manually or semiautomatically. Fully automatic segmentation of the left ventricle (LV), the right ventricle (RV) as well as the myocardium of three-dimensional (3D) magnetic resonance (MR) images throughout the entire cardiac cycle (four-dimensional, 4D), remains challenging. This study proposes a deformable-based segmentation methodology for efficiently segmenting 4D (3D + t) cardiac MR images.

Methods

The proposed methodology first used the Hough transform and the local Gaussian distribution method (LGD) to segment the LV endocardial contours from cardiac MR images. Following this, a novel level set-based shape prior method was applied to generate th

SUBMITTER: Wang Y 

PROVIDER: S-EPMC6322927 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature