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ABSTRACT: Background
Magnetic resonance imaging (MRI) is a powerful tool for predicting heart failure (HF) patient prognosis (including death), but it adversely affecting clinical diagnosis and work efficiency. Compressed sensing technology reconstructs and recovers signals using sampling points that are far below the requirement of traditional sampling laws, which can shorten the signal acquisition time without affecting the image quality of MRI. This study aimed to apply compressed sensing technology to the MRI images of patients with HF to evaluate its effectiveness in the diagnosis of HF. Although compressed sensing MRI technology has not yet been widely adopted in clinical practice, it has demonstrated favorable application prospects. Through continuous updating and optimization, it is
SUBMITTER: An L
PROVIDER: S-EPMC10183511 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature