Please use this identifier to cite or link to this item:
|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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 11, 2019
checked on Oct 28, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.