Manual segmentation, which is tedious, time-consuming, and operator-dependent, is
currently used as the gold standard to validate automatic and semiautomatic methods that …

Purpose: To create a standardized, MRI‐compatible, life‐sized phantom of the brain
ventricles to evaluate ventricle segmentation methods using T1‐weighted MRI. An objective …

Although a wide range of approaches have been developed to automatically assess the
volume of brain regions from MRI, the reproducibility of these algorithms across different …

Objectives: Our study aimed to evaluate a three-dimensional (3D) threshold-based, region-
growing segmentation algorithm for the assessment of left ventricular (LV) volumes in …

Lateral ventricular volumes based on segmented brain MR images can be significantly
underestimated if partial volume effects are not considered. This is because a group of …

Purpose: Routine manual tracing of cardiac contours is time-consuming and subject to
variability. A fully automated software tool may improve reading efficiency. This study was …

Purpose Segmentation of cardiac medical images, an important step in measuring cardiac
function, is usually performed either manually or semiautomatically. Fully automatic …

This retrospective analysis of existing patient data had institutional review board approval
and was performed in compliance with HIPAA. No informed consent was required. The …

A fully automated segmentation method of the left ventricle from short-axis cardiac MR
images is proposed and evaluated. The segmentation is based on morphological filtering …

Purpose To compare global functional parameters determined from a stack of
cinematographic MR images of mouse heart by a manual segmentation and an automatic …