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Three-dimensional modeling of joint ...

Arizona State University.

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Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death./
作者:	To, Denise.
面頁冊數:	295 p.
附註:	Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4392.
Contained By:	Dissertation Abstracts International69-11A.
標題:	Anthropology, Medical and Forensic. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3338424
ISBN:	9780549927198

Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death.
To, Denise.

Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death. - 295 p.

Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4392.

Thesis (Ph.D.)--Arizona State University, 2008.

This study investigated the relationship of joint surface area with sex and skeletal age at death by applying three-dimensional modeling and digital data collection techniques. Because quantification of surface area is difficult to capture by traditional approaches, laser-assisted stereo modeling was used to digitize skeletal features, allowing for accurate and reliable digital quantification of surface area.

ISBN: 9780549927198Subjects--Topical Terms:

1020279
Anthropology, Medical and Forensic.

Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death.
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245 1 0 $a Three-dimensional modeling of joint surface area: Its relationship with skeletal sex and age at death.
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502 $a Thesis (Ph.D.)--Arizona State University, 2008.
520 $a This study investigated the relationship of joint surface area with sex and skeletal age at death by applying three-dimensional modeling and digital data collection techniques. Because quantification of surface area is difficult to capture by traditional approaches, laser-assisted stereo modeling was used to digitize skeletal features, allowing for accurate and reliable digital quantification of surface area.
520 $a A total of 810 virtual models of joints was stereologically created with an optical laser scanner on 211 adult skeletons from the Robert J. Terry Anatomical Collection. Four surfaces from three joints (femoral head, humeral head, glenoid fossa of the scapula, and auricular surface of the ilium) from each skeleton were modeled with a Cyberware Inc., scanner. Watershed segmentation software was used to isolate the articular surface of each joint, and a region editor program was used to measure the isolated surface.
520 $a All four surfaces were found to be sexually dimorphic. Univariate discriminant function analyses on each variable produced cross-validation accuracies between 69.4 percent using the auricular surface area and 87.2 percent using the humeral head area. Only the humeral head and the glenoid fossa entered into the multivariate linear discriminant function equation. Correct classification using this function was found to be 90.0 percent. Age-related morphological changes of the auricular surface could not be captured in its surface area. This project has significant ramifications. First, its focus on surface area addressed research questions of an easily observable, yet largely ignored biological feature. The high accuracy found in determining sex with a multivariate discriminant function for the area of the humeral head and glenoid fossa indicate these to be highly useful criteria. In contrast, exclusion of the area of the femoral head from the function, suggests further research into its variation is warranted, given its highly-used linear variables in determining sex. Second, this project made effective use of a relatively new method of three-dimensional digital data acquisition that has only begun to demonstrate its vast applications. While time consuming, the virtual methods used here may serve as a springboard for other studies to incorporate three-dimensional quantification of surface area into their research designs.
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