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Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization
- Source :
- IEEE Transactions on Biomedical Engineering. 61:2367-2378
- Publication Year :
- 2014
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2014.
-
Abstract
- Repeated x-ray computed tomography (CT) scans are often required in several specific applications such as perfusion imaging, image-guided biopsy needle, image-guided intervention, and radiotherapy with noticeable benefits. However, the associated cumulative radiation dose significantly increases as comparison with that used in the conventional CT scan, which has raised major concerns in patients. In this study, to realize radiation dose reduction by reducing the x-ray tube current and exposure time (mAs) in repeated CT scans, we propose a prior-image induced nonlocal (PINL) regularization for statistical iterative reconstruction via the penalized weighted least-squares (PWLS) criteria, which we refer to as “PWLS-PINL”. Specifically, the PINL regularization utilizes the redundant information in the prior image and the weighted least-squares term considers a data-dependent variance estimation, aiming to improve current low-dose image quality. Subsequently, a modified iterative successive over-relaxation algorithm is adopted to optimize the associative objective function. Experimental results on both phantom and patient data show that the present PWLS-PINL method can achieve promising gains over the other existing methods in terms of the noise reduction, low-contrast object detection and edge detail preservation.
- Subjects :
- Image fusion
Phantoms, Imaging
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical Engineering
Torso
Iterative reconstruction
Radiation Dosage
Object (computer science)
Regularization (mathematics)
Article
Image (mathematics)
X ray computed
Computer Science::Computer Vision and Pattern Recognition
Image Processing, Computer-Assisted
Humans
Computer vision
Tomography
Artificial intelligence
Least-Squares Analysis
Tomography, X-Ray Computed
business
Algorithms
Mathematics
Image-guided radiation therapy
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....b62f60639229094c4158841b038e9256