Accession Number:
ADA409763
Title:
Regularization in Tomographic Reconstruction Using Thresholding Estimators
Descriptive Note:
Conference paper
Corporate Author:
COLUMBIA-PRESBYTERIAN MEDICAL CENTER NEW YORK
Personal Author(s):
Report Date:
2001-10-25
Pagination or Media Count:
5.0
Abstract:
In tomographic medical devices such as SPECT or PET cameras image reconstruction is an unstable inverse problem due to the presence of additive noise. A new family of regularization methods for reconstruction based on a thresholding procedure in wavelet and wavelet packet decompositions is studied. This approach is based on the fact that the decompositions provide a near-diagonalization of the inverse Radon transform and of the prior information on medical images. Corresponding algorithms have been developed for both 2-D and full 3-D reconstruction. These procedures are fast, non-iterative, flexible and their performances outperform Filtered Back-Projection and iterative procedures such as OS-EM.
Descriptors:
Subject Categories:
- Medicine and Medical Research
- Numerical Mathematics