Ontology highlight
ABSTRACT: Background
Accurate and reproducible assessment of left ventricular (LV) volumes is important in managing various cardiac conditions. However, patients are required to hold their breath multiple times during data acquisition, which may result in discomfort and restrict cardiac motion, potentially compromising the accuracy of the detected results. Accelerated imaging techniques can help reduce the number of breath holds needed, potentially improving patient comfort and the reliability of the LV assessment. This study aimed to prospectively evaluate the feasibility and accuracy of LV assessment with a model-based low-rank plus sparse network (L+S-Net) for accelerated magnetic resonance (MR) cine imaging.Methods
Fourty-one patients with different cardiac conditions were recrui
SUBMITTER: Yan C
PROVIDER: S-EPMC11250298 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature