Automated segmentation of 3D cine cardiovascular magnetic resonance imaging.

ABSTRACT:

Introduction

As the life expectancy of children with congenital heart disease (CHD) is rapidly increasing and the adult population with CHD is growing, there is an unmet need to improve clinical workflow and efficiency of analysis. Cardiovascular magnetic resonance (CMR) is a noninvasive imaging modality for monitoring patients with CHD. CMR exam is based on multiple breath-hold 2-dimensional (2D) cine acquisitions that should be precisely prescribed and is expert and institution dependent. Moreover, 2D cine images have relatively thick slices, which does not allow for isotropic delineation of ventricular structures. Thus, development of an isotropic 3D cine acquisition and automatic segmentation method is worthwhile to make CMR workflow straightforward and efficient, as the presen

SUBMITTER: Tayebi Arasteh S 

PROVIDER: S-EPMC10613522 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature