点击次数：

论文类型：期刊论文

发表时间：2011-02-01

发表刊物：NEUROCOMPUTING

收录刊物：Scopus、SCIE、EI

卷号：74

期号：5

页面范围：661-670

ISSN号：0925-2312

关键字：Limited angle tomography; III-posed inverse problem; Total variation (TV)

摘要：This paper focuses on the problem of incomplete data in the applications of the circular cone-beam computed tomography. This problem is frequently encountered in medical imaging sciences and some other industrial imaging systems. For example, it is crucial when the high density region of objects can only be penetrated by X-rays in a limited angular range. As the projection data are only available in an angular range, the above mentioned incomplete data problem can be attributed to the limited angle problem, which is an ill-posed inverse problem. This paper reports a modified total variation minimisation method to reduce the data insufficiency in tomographic imaging. This proposed method is robust and efficient in the task of reconstruction by showing the convergence of the alternating minimisation method. The results demonstrate that this new reconstruction method brings reasonable performance. (C) 2010 Elsevier B.V. All rights reserved.