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August 14, 2024Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

Automatic Aorta Quantification and Aneurysm Detection using 3D Deep Learning on Large-scale Non-Cardiac-Gated MRI

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TNThanh-Duc NguyenSGSaurabh K. Garg†NANasrin Akbari

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Abstract

We present a validated AI technique for quantification of whole aorta diameter from non-cardiac-gated MRI. The mean absolute error between AI-predicted and radiologist-reported diameter is less than 0.27 and 0.249 cm, while Pearson correlation is 0.72 for the ascending (p-value=0.0002) and 0.74 for the descending aorta (p-values=0.0012). SVM classifiers indicated that a 3.15 cm (AUC=0.93) threshold is used to detect a descending aortic aneurysm while a 4.3 cm (AUC=0.92) threshold is used for ascending aortic aneurysm. Large-scale analysis on 3485 individuals showed aortic diameter to increase with age in male and female populations.

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Cite This Study

Nguyen et al. (2024) studied this question.

synapsesocial.com/papers/68e5c52db6db64358755bf38https://doi.org/10.58530/2023/5180
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