Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients.

Hui XueEthan TsengKristopher D KnottTushar KotechaLouise BrownSven PleinMarianna FontanaJames C MoonPeter Kellman

Published in: Magnetic resonance in medicine (2020)

A CNN-based solution to detect the LV blood pool from the arterial input function image series was developed, validated, and deployed. A high LV detection accuracy of 99.98% was achieved.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
loop mediated isothermal amplification
machine learning
real time pcr
label free
high resolution
pulmonary hypertension
optical coherence tomography
high throughput
magnetic resonance
contrast enhanced