東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational modeling of hip joint ...

Anderson, Andrew E.

FindBook

Google Book

Amazon

博客來

Computational modeling of hip joint mechanics.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational modeling of hip joint mechanics./
作者:	Anderson, Andrew E.
面頁冊數:	186 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6109.
Contained By:	Dissertation Abstracts International68-09B.
標題:	Applied Mechanics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3286012
ISBN:	9780549275459

Computational modeling of hip joint mechanics.
Anderson, Andrew E.

Computational modeling of hip joint mechanics. - 186 p.

Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6109.

Thesis (Ph.D.)--The University of Utah, 2007.

The hip joint is one of the largest weight bearing structures in the human body. While its efficient structure may lend to a lifetime of mobility, abnormal, repetitive loading of the hip is thought to result in osteoarthritis (OA). The etiology of hip OA is unknown. However, due to the high loads this joint supports, mechanics have been implicated as the primary factor. Quantifying the relevant mechanical parameters in the joint (i.e., cartilage and bone stresses) appears to be central to an enhanced understanding of this disease. Experimental studies have provided valuable insight into baseline hip joint biomechanics but they require a protocol that is inherently invasive. Numerical modeling techniques, such as the finite element (FE) method, open the possibility of predicting hip joint biomechanics noninvasively and could revolutionize the way pathological hips are diagnosed and treated. Unfortunately, hip finite element models to date have used simplified geometry and have not been validated. It can be credibly argued that prior computational models of the hip joint do not have the ability to predict cartilage and bone mechanics with sufficient accuracy for clinical application.

ISBN: 9780549275459Subjects--Topical Terms:

1018410
Applied Mechanics.

Computational modeling of hip joint mechanics.
LDR:03223nam 2200277 a 45 001 940683
005 20110518
008 110518s2007 ||||||||||||||||| ||eng d
020 $a 9780549275459
035 $a (UMI)AAI3286012
035 $a AAI3286012
040 $a UMI $c UMI
100 1 $a Anderson, Andrew E. $3 1264814
245 1 0 $a Computational modeling of hip joint mechanics.
300 $a 186 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6109.
502 $a Thesis (Ph.D.)--The University of Utah, 2007.
520 $a The hip joint is one of the largest weight bearing structures in the human body. While its efficient structure may lend to a lifetime of mobility, abnormal, repetitive loading of the hip is thought to result in osteoarthritis (OA). The etiology of hip OA is unknown. However, due to the high loads this joint supports, mechanics have been implicated as the primary factor. Quantifying the relevant mechanical parameters in the joint (i.e., cartilage and bone stresses) appears to be central to an enhanced understanding of this disease. Experimental studies have provided valuable insight into baseline hip joint biomechanics but they require a protocol that is inherently invasive. Numerical modeling techniques, such as the finite element (FE) method, open the possibility of predicting hip joint biomechanics noninvasively and could revolutionize the way pathological hips are diagnosed and treated. Unfortunately, hip finite element models to date have used simplified geometry and have not been validated. It can be credibly argued that prior computational models of the hip joint do not have the ability to predict cartilage and bone mechanics with sufficient accuracy for clinical application.
520 $a The aim of this dissertation is to develop and validate methods that will facilitate modeling of hip joint biomechanics on an individual patient basis (i.e., patient-specific modeling). Toward this objective, subject-specific FE models of the pelvis and entire hip joint were developed. The accuracy of model geometry, i.e., cortical bone and cartilage thickness, was assessed using phantom based imaging studies. FE predictions were compared directly with experimental data for purposes of validation. The sensitivity of the models to errors in assumed and measured model inputs was quantified. Finally, recognizing that acetabular dysplasia may be the single most important contributor of hip joint OA, the validated modeling protocols were extended to analyze patient-specific models to demonstrate the general feasibility of the approach and to quantify differences in hip joint biomechanics between a normal and dysplastic hip joint. The developed modeling methodologies have a number of potential longer-term uses and benefits, including improved diagnosis of pathology, patient-specific approaches to treatment, and prediction of the success rate of corrective surgeries based on pre- and postoperative mechanics.
590 $a School code: 0240.
650 4 $a Applied Mechanics. $3 1018410
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Biomedical. $3 1017684
690 $a 0346
690 $a 0541
690 $a 0984
710 2 $a The University of Utah. $3 1017410
773 0 $t Dissertation Abstracts International $g 68-09B.
790 $a 0240
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3286012