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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ik Soo Lim Sarni, S. Thalmann, D. |
| Copyright Year | 2003 |
| Description | Author affiliation: Virtual Reality Lab, Swiss Fed. Inst. of Technol., Lausanne, Switzerland (Ik Soo Lim; Sarni, S.; Thalmann, D.) |
| Abstract | This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D reconstruction. Given a pair of bones with a set of corresponding anatomical landmarks, we compute displacement vectors describing the deformation from one bone to the other at the landmark points on one of the bones. Out of these prescribed ones, a displacement vector at each vertex on the bone surface is derived using a multi-level approximation technique of scattered data. Based on the value of inner product between a displacement vector and a surface normal at each vertex, color is mapped. Considering error-prone estimation of the landmark location in real applications, approximations at different levels are realized instead of exact interpolation as usually done in elastic image registration. Experimental results on a pair of femoral bones are presented. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Computational Med. Mount Sinai School of Med. Dept. Anesthesiology Texas Tech. Univ. College of Eng |
| Starting Page | 273 |
| Ending Page | 278 |
| File Size | 530039 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769519016 |
| ISSN | 10637125 |
| DOI | 10.1109/CBMS.2003.1212801 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-06-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Bones Interpolation Data visualization Image reconstruction Surface reconstruction Surface fitting X-ray imaging Computed tomography Virtual reality |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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