Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography
- IIT
Propagation-based X-ray phase-contrast tomography (PCT) seeks to reconstruct information regarding the complex-valued refractive index distribution of an object. In many applications, a boundary-enhanced image is sought that reveals the locations of discontinuities in the real-valued component of the refractive index distribution. We investigate two iterative algorithms for few-view image reconstruction in boundary-enhanced PCT that exploit the fact that a boundary-enhanced PCT image, or its gradient, is often sparse. In order to exploit object sparseness, the reconstruction algorithms seek to minimize the {ell}{sub 1}-norm or TV-norm of the image, subject to data consistency constraints. We demonstrate that the algorithms can reconstruct accurate boundary-enhanced images from highly incomplete few-view projection data.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 1002394
- Journal Information:
- Opt. Express, Vol. 18, Issue (10) ; 05, 2010
- Country of Publication:
- United States
- Language:
- ENGLISH
Similar Records
Investigation of statistical iterative reconstruction for dedicated breast CT
High Quality Image of Biomedical Object by X-ray Refraction Based Contrast Computed Tomography