In-vivo left atrial surface motion and strain measurement using novel mesh regularized image block matching method with 4D-CTA

Atrial strain and motion play important roles in evaluation of stroke risks for patients with atrial fibrillation. While cardiac computed tomographic angiography (CTA) provides detailed left atrial morphology with unparallel image resolution, finding a suitable strain measurement method for CTA remains a considerable challenge. In this paper, for the first time, we introduced a mesh regularized image block matching method to estimate 3D left atrial (LA) surface strain with 4D CTA. A series of performance tests with ex-vivo phantom and in-vivo 4D-CTA data were deployed. In conclusion, our proposed method could provide reliable LA motion and strain data within limited time.

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Publication Details

Journal
Journal of Biomechanics
Published
2024-10-04
DOI
https://doi.org/10.1016/j.jbiomech.2024.112354
Citations
3
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
1.21

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In-vivo left atrial surface motion and strain measurement using novel mesh regularized image block matching method with 4D-CTA

Haveena Anbananthan, Jiaqiu Wang, Jessica Benitez Mendieta, Hujin Xie et al.
3 citations
Journal of Biomechanics
Cardiovascular Function and Risk Factors
1.21
article

In-vivo left atrial surface motion and strain measurement using novel mesh regularized image block matching method with 4D-CTA

Haveena Anbananthan, Jiaqiu Wang, Jessica Benitez Mendieta, Hujin Xie, Xianjue Huang, Zhiyong Li, Hao Wu, Han Yu, Runxing Fang, Zhengduo Zhu, Shanglin Wu, Zidun Wang
article en
3 citations

Abstract

Atrial strain and motion play important roles in evaluation of stroke risks for patients with atrial fibrillation. While cardiac computed tomographic angiography (CTA) provides detailed left atrial morphology with unparallel image resolution, finding a suitable strain measurement method for CTA remains a considerable challenge. In this paper, for the first time, we introduced a mesh regularized image block matching method to estimate 3D left atrial (LA) surface strain with 4D CTA. A series of performance tests with ex-vivo phantom and in-vivo 4D-CTA data were deployed. In conclusion, our proposed method could provide reliable LA motion and strain data within limited time.

Journal of BiomechanicsVol. 176
Queensland University of Technology (AU), Southeast University (BD), Southeast University (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Australian Research Council, National Health and Medical Research Council
Openalex Percentile: Top 18%
Cardiovascular Function and Risk Factors
1.21
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