A limited-angle CT reconstruction method based on anisotropic TV minimization.

Abstract:

:This paper presents a compressed sensing (CS)-inspired reconstruction method for limited-angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often performed by minimizing the total variation (TV) of a CT image subject to data consistency. A key to obtaining high image quality is to optimize the balance between TV-based smoothing and data fidelity. In the case of the limited-angle CT problem, the strength of data consistency is angularly varying. For example, given a parallel beam of x-rays, information extracted in the Fourier domain is mostly orthogonal to the direction of x-rays, while little is probed otherwise. However, the TV minimization process is isotropic, suggesting that it is unfit for limited-angle CT. Here we introduce an anisotropic TV minimization method to address this challenge. The advantage of our approach is demonstrated in numerical simulation with both phantom and real CT images, relative to the TV-based reconstruction.

journal_name

Phys Med Biol

authors

Chen Z,Jin X,Li L,Wang G

doi

10.1088/0031-9155/58/7/2119

subject

Has Abstract

pub_date

2013-04-07 00:00:00

pages

2119-41

issue

7

eissn

0031-9155

issn

1361-6560

journal_volume

58

pub_type

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