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|Title:||Volumetric reconstruction from multi-energy single-view radiography||Authors:||Le, S.N.
|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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