Finite element modeling of the human kidney for probabilistic occupant models: Statistical shape analysis and mesh morphing. (6th June 2018)

• Record Type: Journal Article
• Authors: Yates, Keegan M.; Untaroiu, Costin D.
• Is Part Of: Journal of biomechanics. Volume 74(2018)
• Page Start: 50
• Page End: 56
• Publication Date: 2018-06-06
• Subjects: Human kidney -- Statistical shape analysis -- Principal component analysis -- Mesh morphing -- Mean and boundary models; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2018.04.016
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: Statistical shape analysis was conducted on 15 pairs (left and right) of human kidneys. It was shown that the left and right kidney were significantly different in size and shape. In addition, several common modes of kidney variation were identified using statistical shape analysis. Semi-automatic mesh morphing techniques have been developed to efficiently create subject specific meshes from a template mesh with a similar geometry. Subject specific meshes as well as probabilistic kidney meshes were created from a template mesh. Mesh quality remained about the same as the template mesh while only taking a fraction of the time to create the mesh from scratch or morph with manually identified landmarks. This technique can help enhance the quality of information gathered from experimental testing with subject specific meshes as well as help to more efficiently predict injury by creating models with the mean shape as well as models at the extremes for each principal component.