Tetrahedral mesh modeling of density data for anatomical atlases and intensity-based registration

Jianhua Yao, Russell Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present the first phase of our effort to build a bone density atlas. We adopted a tetrahedral mesh structure to represent anatomical structures. We propose an efficient and automatic algorithm to construct the tetrahedral mesh from contours in CT images corresponding to the outer bone surfaces and boundaries between compact bone, spongy bone, and medullary cavity. We approximate bone density variations by means of continuous density functions in each tetrahedron of the mesh. Currently, our density functions are second degree polynomial functions expressed in terms of barycentric coordinates associated with each tetrahedron. We apply our density model to efficiently generate Digitally Reconstructed Radiographs. These results are immediately applicable as means of speeding up 2D-3D and 3D-3D intensity based registration and will be incorporated into our future work on construction of atlases and deformable intensity-based registration.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
EditorsAnthony M. DiGoia, Branislav Jaramaz, Scott L. Delp
PublisherSpringer Verlag
Pages531-540
Number of pages10
ISBN (Print)3540411895, 9783540411895
StatePublished - Jan 1 2000
Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States
Duration: Oct 11 2000Oct 14 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1935
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
CountryUnited States
CityPittsburgh
Period10/11/0010/14/00

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yao, J., & Taylor, R. (2000). Tetrahedral mesh modeling of density data for anatomical atlases and intensity-based registration. In A. M. DiGoia, B. Jaramaz, & S. L. Delp (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings (pp. 531-540). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1935). Springer Verlag.