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4D cone-beam CT reconstruction using multi-organ meshes for sliding motion modeling
- Source :
- Physics in Medicine and Biology. 61:996-1020
- Publication Year :
- 2016
- Publisher :
- IOP Publishing, 2016.
-
Abstract
- A simultaneous motion estimation and image reconstruction (SMEIR) strategy was proposed for 4D cone-beam CT (4D-CBCT) reconstruction and showed excellent results in both phantom and lung cancer patient studies. In the original SMEIR algorithm, the deformation vector field (DVF) was defined on voxel grid and estimated by enforcing a global smoothness regularization term on the motion fields. The objective of this work is to improve the computation efficiency and motion estimation accuracy of SMEIR for 4D-CBCT through developing a multi-organ meshing model. Feature-based adaptive meshes were generated to reduce the number of unknowns in the DVF estimation and accurately capture the organ shapes and motion. Additionally, the discontinuity in the motion fields between different organs during respiration was explicitly considered in the multi-organ mesh model. This will help with the accurate visualization and motion estimation of the tumor on the organ boundaries in 4D-CBCT. To further improve the computational efficiency, a GPU-based parallel implementation was designed. The performance of the proposed algorithm was evaluated on a synthetic sliding motion phantom, a 4D NCAT phantom, and four lung cancer patients. The proposed multi-organ mesh based strategy outperformed the conventional Feldkamp-Davis-Kress, iterative total variation minimization, original SMEIR and single meshing method based on both qualitative and quantitative evaluations.
- Subjects :
- Cone beam computed tomography
Lung Neoplasms
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Iterative reconstruction
computer.software_genre
Regularization (mathematics)
Article
Imaging phantom
030218 nuclear medicine & medical imaging
Motion
03 medical and health sciences
0302 clinical medicine
Voxel
Motion estimation
Humans
Radiology, Nuclear Medicine and imaging
Polygon mesh
Computer vision
Four-Dimensional Computed Tomography
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Radiological and Ultrasound Technology
business.industry
Cone-Beam Computed Tomography
Feature (computer vision)
030220 oncology & carcinogenesis
Artificial intelligence
business
computer
Algorithms
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....c0d3dd1c445e7991468deda1802732b7