Automated analysis of cardiovascular magnetic resonance myocardial native T₁ mapping images using fully convolutional neural networks.

ABSTRACT:

Background

Cardiovascular magnetic resonance (CMR) myocardial native T₁ mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T₁ are measured manually by drawing region of interest in motion-corrected T₁ maps. The manual analysis contributes to an already lengthy CMR analysis workflow and impacts measurements reproducibility. In this study, we propose an automated method for combined myocardium segmentation, alignment, and T₁ calculation for myocardial T₁ mapping.

Methods

A deep fully convolutional neural network (FCN) was used for myocardium segmentation in T₁ weighted images. The segmented myocardium was then resampled on a polar grid, whose origin is located

SUBMITTER: Fahmy AS 

PROVIDER: S-EPMC6330747 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature