Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA

被引：4

作者：

Xie, Hujin ^{[1
,2
]}

Wu, Hao ^{[3
]}

Wang, Jiaqiu ^{[1
,2
,4
]}

Mendieta, Jessica Benitez ^{[1
,2
]}

Yu, Han ^{[1
,2
]}

Xiang, Yuqiao ^{[1
,2
]}

Anbananthan, Haveena ^{[1
,2
]}

Zhang, Jianjian ^{[5
]}

Zhao, Huilin ^{[5
]}

Zhu, Zhengduo ^{[1
,2
]}

Huang, Qiuxiang ^{[1
,2
]}

Fang, Runxing ^{[3
]}

Zhu, Chengcheng ^{[6
]}

Li, Zhiyong ^{[1
,2
,7
]}

机构：

[1] Queensland Univ Technol, Sch Mech Med & Proc Engn, Brisbane, Qld 4000, Australia

[2] Queensland Univ Technol, Ctr Biomed Technol, Brisbane, Qld 4000, Australia

[3] Southeast Univ, Sch Biol Sci & Med Engn, Nanjing 210096, Jiangsu, Peoples R China

[4] London South Bank Univ, Sch Engn, London, England

[5] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Radiol, 160 Pujian Rd, Shanghai, Peoples R China

[6] Univ Washington, Sch Med, Dept Radiol, Seattle, WA USA

[7] Ningbo Univ, Fac Sports Sci, Ningbo 315211, Zhejiang, Peoples R China

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2024年 / 244卷

基金：

澳大利亚研究理事会; 中国国家自然科学基金;

关键词：

Biomechanical model; Intracranial aneurysms; 4D-CTA; Data-driven; Constrained estimation; UNRUPTURED CEREBRAL ANEURYSMS; WALL-MOTION; CT ANGIOGRAPHY; FOLLOW-UP; RISK; PULSATION; RUPTURE; HEMODYNAMICS; PREDICTION; MANAGEMENT;

D O I：

10.1016/j.cmpb.2023.107975

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Background and objective: Intracranial aneurysms are relatively common life -threatening diseases, and assessing aneurysm rupture risk and identifying the associated risk factors is essential. Parameters such as the Oscillatory Shear Index, Pressure Loss Coefficient, and Wall Shear Stress are reliable indicators of intracranial aneurysm development and rupture risk, but aneurysm surface irregular pulsation has also received attention in aneurysm rupture risk assessment. Methods: The present paper proposed a new approach to estimate aneurysm surface deformation. This method transforms the estimation of aneurysm surface deformation into a constrained optimization problem, which minimizes the error between the displacement estimated by the model and the sparse data point displacements from the four-dimensional CT angiography (4D-CTA) imaging data. Results: The effect of the number of sparse data points on the results has been discussed in both simulation and experimental results, and it shows that the proposed method can accurately estimate the surface deformation of intracranial aneurysms when using sufficient sparse data points. Conclusions: Due to a potential association between aneurysm rupture and surface irregular pulsation, the estimation of aneurysm surface deformation is needed. This paper proposed a method based on 4D-CTA imaging data, offering a novel solution for the estimation of intracranial aneurysm surface deformation.

引用

页数：15

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