A Kinematics-Based Method For Generating Cartilage Maps and Deformations in the Multi-Articulating Wrist Joint From CT Images

Author

Marai, G. Elisabeta ; Crisco, Joseph J. ; Laidlaw, David H.

Author_Institution

Dept. of Comput. Sci., Brown Univ., Providence, RI

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2079

Lastpage

2082

Abstract

We present a non-invasive method for estimating individual-specific cartilage maps directly from in vivo kinematic data and computed tomography (CT) volume images, and a novel algorithm for computing cartilage surface deformations. Our proposed cartilage model, a meshless incompressible height-field captures the physical properties important for estimating the shape, contact area, and deformation magnitude of cartilage at each articulation. This cartilage model can serve as an effective building block for a future forward-dynamic predictive model of the human wrist

Keywords

biomechanics; biomedical measurement; bone; computerised tomography; deformation; kinematics; CT images; cartilage map estimation; cartilage surface deformation; computed tomography volume images; in vivo kinematic data; kinematics-based method; multiarticulating wrist joint; physical properties; Bones; Computed tomography; Deformable models; Image segmentation; In vivo; Joints; Kinematics; Predictive models; Shape; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259742

Filename

4462196