Volumetric reconstruction from multi-energy single-view radiography

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 non-linear 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 threedimensional body segmental compositions, and compare its results with those of existing methods.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Sang N. Le, Mei Kay Lee, Shamima Banu, Anthony C. Fang
• Keywords: Computer Vision, CVPR 2008, Mass Density Voxels, Minimizes Variational Irregularities, Optimization Formulation Problem, Orthographic Multi-energy X-ray, Volumetric Reconstruction Problem