학술논문
Multiresolution local tomography in dental radiology using wavelets
Document Type
Conference
Author
Source
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. :2912-2915 Aug, 2007
Subject
Language
ISSN
1094-687X
1558-4615
1558-4615
Abstract
A Bayesian multiresolution model for local tomography in dental radiology is proposed. In this model a wavelet basis is used to present dental structures and the prior information is modeled in terms of Besov norm penalty. The proposed wavelet-based multiresolution method is used to reduce the number of unknowns in the reconstruction problem by abandoning fine-scale wavelets outside the region of interest (ROI). This multiresolution model allows significant reduction in the number of unknowns without the loss of reconstruction accuracy inside the ROI. The feasibility of the proposed method is tested with two-dimensional (2D) examples using simulated and experimental projection data from dental specimens.