Work

SART-Type Image Reconstruction from Overlapped Projections

Year: 2010

Type: article

Abstract: To maximize the time-integrated X-ray flux from multiple X-ray sources and shorten the data acquisition process, a promising way is to allow overlapped projections from multiple sources being simultaneously on without involving the source multiplexing technology. The most challenging task in this configuration is to perform image reconstruction effectively and efficiently from overlapped projections. Inspired by the single-source simultaneous algebraic reconstruction technique (SART), we hereby develop a multisource SART-type reconstruction algorithm regularized by a sparsity-oriented constraint in the soft-threshold filtering framework to reconstruct images from overlapped projections. Our numerical simulation results verify the correctness of the proposed algorithm and demonstrate the advantage of image reconstruction from overlapped projections.

Source: International Journal of Biomedical Imaging

DOI: 10.1155/2011/549537

Authors: Hengyong Yu, Changguo Ji, Ge Wang

Institutions: Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences, Wake Forest University Health Sciences, Wake Forest University, Virginia Tech

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,000

Funders: National Science Foundation, National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, Division of Civil, Mechanical and Manufacturing Innovation