Performance test of digital volume correlation on tracking left atrium motion from cardiac CT

IF 3.8 2区工程技术 Q1 ENGINEERING, MECHANICAL

Acta Mechanica Sinica Pub Date : 2024-09-04 DOI:10.1007/s10409-024-24216-x

Zhengduo Zhu (, ), Jiaqiu Wang (, ), Hao Wu (, ), Minglong Chen (, ), Zidun Wang (, ), Runxin Fang (, ), Xianjue Huang (, ), Hujin Xie (, ), Han Yu (, ), Yuchu Tian (, ), Zhiyong Li (, )

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引用次数: 0

Abstract

The accurate assessment of cardiac motion is crucial for diagnosing and monitoring cardiovascular diseases. In this context, digital volume correlation (DVC) has emerged as a promising technique for tracking cardiac motion from cardiac computed tomography angiographic (CTA) images. This paper presents a comprehensive performance evaluation of the DVC method, specifically focusing on tracking the motion of the left atrium using cardiac CTA data. The study employed a comparative experimental approach while simultaneously optimizing the existing DVC algorithm. Multiple sets of controlled experiments were designed to conduct quantitative analyses on the parameters “radius” and “step”. The results revealed that the optimized DVC algorithm enhanced tracking accuracy within a reasonable computational time. These findings contributed to the understanding of the efficacy and limitations of the DVC algorithm in analyzing heart deformation.

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跟踪心脏 CT 左心房运动的数字容积相关性性能测试

准确评估心脏运动对诊断和监测心血管疾病至关重要。在此背景下，数字容积相关（DVC）已成为从心脏计算机断层扫描血管造影（CTA）图像追踪心脏运动的一项前景广阔的技术。本文对 DVC 方法进行了全面的性能评估，尤其侧重于利用心脏 CTA 数据跟踪左心房的运动。研究采用了对比实验方法，同时优化了现有的 DVC 算法。设计了多组对照实验，对参数 "半径 "和 "步长 "进行定量分析。结果表明，优化后的 DVC 算法在合理的计算时间内提高了跟踪精度。这些发现有助于了解 DVC 算法在分析心脏变形方面的功效和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Acta Mechanica Sinica 物理-工程：机械

CiteScore

5.60

自引率

20.00%

发文量

1807

审稿时长

4 months

期刊介绍： Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences. Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences. In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest. Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics