A kinematics-based method for generating cartilage maps and deformations in the multi-articulating wrist joint from CT images.
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.
Marai
G Elisabeta
GE
Dept. of Comput. Sci., Brown Univ., Providence, RI 02912, USA. gem@cs.brown.edu
Crisco
Joseph J
JJ
Laidlaw
David H
DH
D001696:Biomechanical Phenomena / Q000379:methods*; D002358:Cartilage, Articular / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000502:physiology*; D003198:Computer Simulation; D004548:Elasticity; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D008954:Models, Biological; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D016059:Range of Motion, Articular / Q000502:physiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013314:Stress, Mechanical; D014955:Wrist Joint / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000502:physiology*