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CT to cone-beam CT deformable registration with simultaneous intensity correction
- Source :
- Physics in Medicine and Biology. 57:6807-6826
- Publication Year :
- 2012
- Publisher :
- IOP Publishing, 2012.
-
Abstract
- Computed tomography (CT) to cone-beam computed tomography (CBCT) deformable image registration (DIR) is a crucial step in adaptive radiation therapy. Current intensity-based registration algorithms, such as demons, may fail in the context of CT-CBCT DIR because of inconsistent intensities between the two modalities. In this paper, we propose a variant of demons, called Deformation with Intensity Simultaneously Corrected (DISC), to deal with CT-CBCT DIR. DISC distinguishes itself from the original demons algorithm by performing an adaptive intensity correction step on the CBCT image at every iteration step of the demons registration. Specifically, the intensity correction of a voxel in CBCT is achieved by matching the first and the second moments of the voxel intensities inside a patch around the voxel with those on the CT image. It is expected that such a strategy can remove artifacts in the CBCT image, as well as ensuring the intensity consistency between the two modalities. DISC is implemented on computer graphics processing units (GPUs) in compute unified device architecture (CUDA) programming environment. The performance of DISC is evaluated on a simulated patient case and six clinical head-and-neck cancer patient data. It is found that DISC is robust against the CBCT artifacts and intensity inconsistency and significantly improves the registration accuracy when compared with the original demons.<br />Comment: 22 pages, 9 figures, and 3 tables
- Subjects :
- Cone beam computed tomography
Time Factors
FOS: Physical sciences
Image registration
Image processing
Context (language use)
computer.software_genre
Article
030218 nuclear medicine & medical imaging
Computer graphics
03 medical and health sciences
0302 clinical medicine
Voxel
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Computer vision
Physics
Radiological and Ultrasound Technology
business.industry
Cone-Beam Computed Tomography
Physics - Medical Physics
3. Good health
Intensity (physics)
Head and Neck Neoplasms
030220 oncology & carcinogenesis
Medical Physics (physics.med-ph)
Artificial intelligence
Tomography
Artifacts
business
computer
Algorithms
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....07591b461657e89dae96976741b91e73