@inproceedings{05ed0e6d041245049a63aabc9298d56d,
title = "Tetrahedral mesh modeling of density data for anatomical atlases and intensity-based registration",
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.",
author = "Jianhua Yao and Russell Taylor",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 ; Conference date: 11-10-2000 Through 14-10-2000",
year = "2000",
doi = "10.1007/978-3-540-40899-4_54",
language = "English (US)",
isbn = "3540411895",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "531--540",
editor = "Delp, {Scott L.} and DiGoia, {Anthony M.} and Branislav Jaramaz",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings",
}