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https://doi.org/10.1109/CVPR.2008.4587742
Title: | Volumetric reconstruction from multi-energy single-view radiography | Authors: | Le, S.N. Mei, K.L. Banu, S. Fang, A.C. |
Issue Date: | 2008 | Citation: | Le, S.N.,Mei, K.L.,Banu, S.,Fang, A.C. (2008). Volumetric reconstruction from multi-energy single-view radiography. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2008.4587742 | Abstract: | We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy x-ray images, producing as output a reconstructed model space consisting of uniform-size mass density voxels. Our approach solves the nonlinear constrained optimization formulation problem by constructing a compliant estimate of volumetric distribution, subject to projective and domain constraints, and minimizes variational irregularities. To resolve the inherent ambiguities of single-view formulation, an optional shape model may be introduced to aid the reconstruction process. We demonstrate our method's practical usage as a new in-vivo method for estimating three-dimensional body segmental compositions, and compare its results with those of existing methods. ©2008 IEEE. | Source Title: | 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR | URI: | http://scholarbank.nus.edu.sg/handle/10635/40236 | ISBN: | 9781424422432 | DOI: | 10.1109/CVPR.2008.4587742 |
Appears in Collections: | Staff Publications |
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