Parameter optimization of relaxed Ordered Subsets Pre-computed Back Projection (BP) based Penalized-Likelihood (OS-PPL) reconstruction in limited-angle X-ray tomography

被引：7

作者：

Xu, Shiyu ^{[1
]}

Schurz, Henri ^{[2
]}

Chen, Ying ^{[1
,3
]}

机构：

[1] So Illinois Univ, Dept Elect & Comp Engn, Carbondale, IL 62901 USA

[2] So Illinois Univ, Dept Math, Carbondale, IL 62901 USA

[3] So Illinois Univ, Biomed Engn Grad Program, Carbondale, IL 62901 USA

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2013年 / 37卷 / 04期

关键词：

Limited angle tomography; Mono-energetic X-ray; Penalized-likelihood; Predictable resolution properties; Relaxed Ordered Subsets; Smoothing parameter; TRANSMISSION TOMOGRAPHY; IMAGE-RECONSTRUCTION; ALGEBRAIC RECONSTRUCTION; BREAST TOMOSYNTHESIS; MAXIMUM-LIKELIHOOD; ALGORITHMS; EMISSION; CT;

D O I：

10.1016/j.compmedimag.2013.04.005

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a two-step strategy to provide a quality-predictable image reconstruction. A Precomputed Back Projection based Penalized-Likelihood (PPL) method is proposed in the strategy to generate consistent image quality. To solve PPL efficiently, relaxed Ordered Subsets (OS) is applied. A training sets based evaluation is performed to quantify the effect of the undetermined parameters in OS, which lets the results as consistent as possible with the theoretical one. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：304 / 312

页数：9