Work

Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography

Year: 2005

Type: article

Abstract: We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is motivated by the respiratory-gated megavoltage tomography problem, in which the acquired asymmetric cone-beam projections are limited in number and unevenly sampled over view angle. In these cases, images reconstructed by use of the conventional EM algorithm can contain ring- and streak-like artefacts that are attributable to a combination of data inconsistencies and truncation of the projection data. By use of computer-simulated and clinical gated fan-beam megavoltage projection data, we demonstrate that the proposed weighted EM algorithms effectively mitigate such image artefacts.

Source: Physics in Medicine and Biology

DOI: 10.1088/0031-9155/50/21/n02

Authors: Jin Zhang, Daxin Shi, Mark A Anastasio, Jussi Sillanpaa, Jenghwa Chang

Institutions: Illinois Institute of Technology, Memorial Sloan Kettering Cancer Center

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Cancer Institute

Award: G1385843957