DocumentCode
899879
Title
Automated Finite-Element Analysis for Deformable Registration of Prostate Images
Author
Crouch, Jessica R. ; Pizer, Stephen M. ; Chaney, Edward L. ; Hu, Yu-Chi ; Mageras, Gig S. ; Zaider, Marco
Author_Institution
Old Dominion Univ., Norfolk
Volume
26
Issue
10
fYear
2007
Firstpage
1379
Lastpage
1390
Abstract
Two major factors preventing the routine clinical use of finite-element analysis for image registration are: 1) the substantial labor required to construct a finite-element model for an individual patient´s anatomy and 2) the difficulty of determining an appropriate set of finite-element boundary conditions. This paper addresses these issues by presenting algorithms that automatically generate a high quality hexahedral finite-element mesh and automatically calculate boundary conditions for an imaged patient. Medial shape models called m-reps are used to facilitate these tasks and reduce the effort required to apply finite-element analysis to image registration. Encouraging results are presented for the registration of CT image pairs which exhibit deformation caused by pressure from an endorectal imaging probe and deformation due to swelling.
Keywords
biological organs; finite element analysis; image registration; medical image processing; boundary conditions; deformable registration; finite element analysis; image registration; prostate images; Biomedical imaging; Boundary conditions; Computational modeling; Deformable models; Finite element methods; Image analysis; Image registration; Mesh generation; Probes; Shape; Elastic; finite element; m-rep; prostate; registration; Algorithms; Artificial Intelligence; Computer Simulation; Elasticity; Finite Element Analysis; Humans; Imaging, Three-Dimensional; Male; Models, Biological; Pattern Recognition, Automated; Prostatic Neoplasms; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, X-Ray Computed;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2007.898810
Filename
4336172
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