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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yunhao Tan Jing Hua Ming Dong |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Comput. Sci., Wayne State Univ., Detroit, MI (Yunhao Tan; Jing Hua; Ming Dong) |
| Abstract | In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into computer as a sequence of image files with a histology film scanner. An initial 3D alignment of the images is obtained through the histological similarity matching between neighboring slices. Further optimization is achieved by applying optimal affine transformation to each slice according to feature curve smoothing. Considering the intrinsic smoothness of the physical features, we compute the transformation to refine the selected features based on NURBS splines. Consequently, volume reconstruction is further optimized. We also present new evaluation methods to prove that our reconstruction scheme can achieve a high accuracy. |
| Starting Page | 716 |
| Ending Page | 719 |
| File Size | 303979 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424406714 |
| DOI | 10.1109/ISBI.2007.356952 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Spline Surface topography Surface reconstruction Computer science Computer errors Sequences Biomedical imaging Smoothing methods Data visualization |
| Content Type | Text |
| Resource Type | Article |
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