Back to Search
Start Over
Optimization-based image reconstruction with artifact reduction in C-arm CBCT
- Source :
- Physics in Medicine and Biology. 61:7300-7333
- Publication Year :
- 2016
- Publisher :
- IOP Publishing, 2016.
-
Abstract
- We investigate an optimization-based reconstruction, with an emphasis on image-artifact reduction, from data collected in C-arm cone-beam computed tomography (CBCT) employed in image-guided interventional procedures. In the study, an image to be reconstructed is formulated as a solution to a convex optimization program in which a weighted data divergence is minimized subject to a constraint on the image total variation (TV); a data-derivative fidelity is introduced in the program specifically for effectively suppressing dominant, low-frequency data artifact caused by, e.g., data truncation; and the Chambolle-Pock (CP) algorithm is tailored to reconstruct an image through solving the program. Like any other reconstructions, the optimization-based reconstruction considered depends upon numerous parameters. We elucidate the parameters, illustrate their determination, and demonstrate their impact on the reconstruction. The optimization-based reconstruction, when applied to data collected from swine and patient subjects, yields images with visibly reduced artifacts in contrast to the reference reconstruction, and it also appears to exhibit a high degree of robustness against distinctively different anatomies of imaged subjects and scanning conditions of clinical significance. Knowledge and insights gained in the study may be exploited for aiding in the design of practical reconstructions of truly clinical-application utility.
- Subjects :
- Cone beam computed tomography
Swine
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
Computed tomography
Iterative reconstruction
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Image Processing, Computer-Assisted
medicine
Animals
Humans
Radiology, Nuclear Medicine and imaging
Computer vision
Artifact (error)
Radiological and Ultrasound Technology
medicine.diagnostic_test
Phantoms, Imaging
business.industry
Liver Diseases
Cone-Beam Computed Tomography
030220 oncology & carcinogenesis
Convex optimization
Tomography
Artificial intelligence
Artifacts
business
Algorithms
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....c7e49616f12a2558bcd9c6674109f554