Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images

Object detection showed superior performance in identifying the aortic valve annulus region, suggesting its potential for clinical application in cardiac imaging. The results highlight the promise of deep learning in improving the accuracy and efficiency of preoperative planning for cardiovascular interventions.

Authors

Hiroyuki Sugimori (ORCID: https://orcid.org/0000-0002-7796-5113)
Takaaki Yoshimura (ORCID: https://orcid.org/0000-0002-6663-4335)
Shota Ichikawa (ORCID: https://orcid.org/0000-0002-4275-1422)
Minghui Tang (ORCID: https://orcid.org/0000-0003-3310-2962)
Soichiro Inomata

Institutions

Health Sciences University of Hokkaido (JP)
Hokkaido University (JP)
Hokkaido University Hospital (JP)
Niigata University (JP)

Publication Details

Journal: Journal of Cardiovascular Development and Disease
Published: 2024-12-25
DOI: https://doi.org/10.3390/jcdd12010003
Citations: 4
Primary Topic: Advanced X-ray and CT Imaging
Type: article
Field-Weighted Citation Impact: 0.74

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article

Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images

Hiroyuki Sugimori, Takaaki Yoshimura, Shota Ichikawa, Minghui Tang et al.

Dec 25, 2024

4 citations

Journal of Cardiovascular Development and Disease

Advanced X-ray and CT Imaging

0.74

article

Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images

Hiroyuki Sugimori, Takaaki Yoshimura, Shota Ichikawa, Minghui Tang, Soichiro Inomata

December 25, 2024article en

4 citations

Abstract

Object detection showed superior performance in identifying the aortic valve annulus region, suggesting its potential for clinical application in cardiac imaging. The results highlight the promise of deep learning in improving the accuracy and efficiency of preoperative planning for cardiovascular interventions.

Journal of Cardiovascular Development and DiseaseVol. 12(1)

Health Sciences University of Hokkaido (JP), Hokkaido University (JP), Hokkaido University Hospital (JP), Niigata University (JP)

Openalex Percentile: Top 31%

Advanced X-ray and CT Imaging

0.74

DOI Open Access PDF OpenAlex

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Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images — Hiroyuki Sugimori, Takaaki Yoshimura, et al. · Journal of Cardiovascular Development and Disease (2024) | TGRS Research Map | TGRS