An improved prior image constrained compressed sensing reconstruction for low-dose computed tomography / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1620-1623, 2013.
Article
in Chinese
| WPRIM
| ID: wpr-232739
ABSTRACT
Low-dose computed tomography (CT) reconstruction has become the focus of X-ray CT imaging study. In this paper, we propose an improved prior image constrained compressed sensing (PICCS) reconstruction approach. A penalized weighted least-squares approach was adopted to realize the line integral projection (sinogram) data restoration, followed by filtered back-projection (FBP) of the restored sinogram data for image reconstruction. Finally, the FBP image as the prior image was used for PICCS approach for dose reduction. Qualitative and quantitative evaluations were carried out with computer simulation. The results showed that the present approach yielded noticeable gains over the original PICCS approach for dose reduction in terms of noise-induced artifacts suppression and edge detail preservation.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Radiation Dosage
/
Algorithms
/
Computer Simulation
/
Image Processing, Computer-Assisted
/
Tomography, X-Ray Computed
/
Least-Squares Analysis
/
Phantoms, Imaging
/
Data Compression
/
Signal-To-Noise Ratio
/
Methods
Type of study:
Qualitative research
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2013
Type:
Article
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