| Title | Segmentation of medical images using three-dimensional active shape models |
| Authors | Klas Josephson, Anders Ericsson, Johan Karlsson |
| Full-text | Available as PDF |
| Alternative Location | http://dx.doi.org/10.1007/1..., Restricted Access |
| Publication | Image Analysis (Lecture Notes in Computer Science) |
| Year | 2005 |
| Volume | 3540 |
| Pages | 719 - 728 |
| Document type | Conference paper |
| Conference name | 14th Scandinavian Conference on Image Analysis |
| Conference Date | 2005-06-19/2005-06-22 |
| Conference Location | Joensuu, Finland |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | Springer |
| Abstract English | In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is presented. To do this several data sets were first segmented manually. The resulting structures were represented by unorganised point clouds. With level set methods surfaces were fitted to these point clouds. The iterated closest point algorithm was then applied to establish correspondences between the different surfaces. Both surfaces and correspondences were used to build a three dimensional statistical shape model. The resulting model is then used to automatically segment structures in subsequent data sets through three dimensional Active Shape Models. The result of the segmentation is promising, but the quality of the segmentation is dependent on the initial guess. |
| ISBN/ISSN/Other | ISSN: 0302-9743 ISBN: 978-3-540-26320-3 |
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