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

Han Yu; Zidun Wang; Hao Wu; Zhengduo Zhu; Jiaqiu Wang; Runxing Fang; Shanglin Wu; Hujin Xie; Xianjue Huang; Jessica Benitez Mendieta; Haveena Anbananthan; Zhiyong Li

doi:10.1016/j.jbiomech.2024.112354

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

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

School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: [email protected].
First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China. Electronic address: [email protected].
School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, China. Electronic address: [email protected].
School of Mechanical, Medical and Process Engineering, Queensland University of Technology
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia; School of Engineering, London South Bank University, London SE1 0AA, UK. Electronic address: [email protected].
School of Biological Science & Medical Engineering, Southeast University
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: [email protected].
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: [email protected].
School of Biological Science & Medical Engineering, Southeast University, Nanjing
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: [email protected].
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: [email protected].
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia; Faculty of Sports Science, Ningbo University, Ningbo 315211, Zhejiang, China. Electronic address: [email protected].

Research output: Contribution to journal › Article › peer-review

3 Downloads (Pure)

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.

Original language	English
Article number	112354
Number of pages	15
Journal	Journal of Biomechanics
Volume	176
Early online date	4 Oct 2024
DOIs	https://doi.org/10.1016/j.jbiomech.2024.112354
Publication status	Published - Nov 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

Left Atrial Motion
Cardiac Image Segmentation
Computed Tomography Angiography
Left Atrial Strain

Access to Document

10.1016/j.jbiomech.2024.112354

1-s2.0-S0021929024004329-mainFinal published version, 15.7 MBLicence: CC BY 4.0

Cite this

@article{5465ac79892a45968b82f0b61c263eb4,

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

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.",

keywords = "Left Atrial Motion, Cardiac Image Segmentation, Computed Tomography Angiography, Left Atrial Strain",

author = "Han Yu and Zidun Wang and Hao Wu and Zhengduo Zhu and Jiaqiu Wang and Runxing Fang and Shanglin Wu and Hujin Xie and Xianjue Huang and {Benitez Mendieta}, Jessica and Haveena Anbananthan and Zhiyong Li",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",

year = "2024",

month = nov,

doi = "10.1016/j.jbiomech.2024.112354",

language = "English",

volume = "176",

journal = "Journal of Biomechanics",

issn = "1873-2380",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - In-vivo left atrial surface motion and strain measurement using novel mesh regularized image block matching method with 4D-CTA

AU - Yu, Han

AU - Wang, Zidun

AU - Wu, Hao

AU - Zhu, Zhengduo

AU - Wang, Jiaqiu

AU - Fang, Runxing

AU - Wu, Shanglin

AU - Xie, Hujin

AU - Huang, Xianjue

AU - Benitez Mendieta, Jessica

AU - Anbananthan, Haveena

AU - Li, Zhiyong

PY - 2024/11

Y1 - 2024/11

N2 - 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.

AB - 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.

KW - Left Atrial Motion

KW - Cardiac Image Segmentation

KW - Computed Tomography Angiography

KW - Left Atrial Strain

UR - https://www.sciencedirect.com/science/article/pii/S0021929024004329?via%3Dihub

U2 - 10.1016/j.jbiomech.2024.112354

DO - 10.1016/j.jbiomech.2024.112354

M3 - Article

C2 - 39383691

SN - 1873-2380

VL - 176

JO - Journal of Biomechanics

JF - Journal of Biomechanics

M1 - 112354

ER -

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

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Cite this