Automated methodology for determination of stress distribution in human abdominal aortic aneurysm

被引:34
作者
Raghavan, ML [1 ]
Fillinger, MF
Marra, SP
Naegelein, BP
Kennedy, FE
机构
[1] Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USA
[2] Dartmouth Coll, Dept Surg, Hanover, NH 03755 USA
[3] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA
来源
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME | 2005年 / 127卷 / 05期
关键词
D O I
10.1115/1.1992530
中图分类号
Q6 [生物物理学];
学科分类号
071011 [生物物理学];
摘要
Knowledge of impending abdominal aortic aneurysm (AAA) rupture can help in surgical planning. Typically, aneurysm diameter is used as the indicator of rupture, but recent studies have hypothesized that pressure-induced biomechanical stress may be a better predictor Verification of this hypothesis on a large study population with ruptured and unruptured AAA is vital if stress is to be reliably used as a clinical prognosticator for AAA rupture risk. We have developed an automated algorithm to calculate the peak stress in patient-specific AAA models. The algorithm contains a mesh refinement module, finite element analysis module, and a postprocessing visualization module. Several aspects of the methodology used are an improvement over past reported approaches. The entire analysis may be run from a single command and is completed in less than 1 h with the peak wall stress recorded for statistical analysis. We have used our algorithm for stress analysis of numerous ruptured and unruptured AAA models and report some of our results here. By current estimates, peak stress in the aortic wall appears to be a better predictor of rupture than AAA diameter Further use of our algorithm is ongoing on larger study populations to convincingly verify these findings.
引用
收藏
页码:868 / 871
页数:4
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