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Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis.
- Source :
-
Medical physics [Med Phys] 2011 Oct; Vol. 38 (10), pp. 5290-302. - Publication Year :
- 2011
-
Abstract
- Purpose: Accurate localization of prostate implants from several C-arm images is necessary for ultrasound-fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis-based reconstruction that enables 3D localization of prostate implants from C-arm images despite C-arm oscillation and sagging.<br />Methods: Five C-arm images are captured by rotating the C-arm around its primary axis, while measuring its rotation angle using a protractor or the C-arm joint encoder. The C-arm images are processed to obtain binary seed-only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C-arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C-arm full pose tracking traditionally implemented using radio-opaque fiducials or external trackers. The proposed reconstruction method is tested in simulations, in a phantom study and on ten patient data sets.<br />Results: In a phantom implanted with 136 dummy seeds, the seed detection rate was 100% with a localization error of 0.86 ± 0.44 mm (Mean ± STD) compared to CT. For patient data sets, a detection rate of 99.5% was achieved in approximately 1 min per patient. The reconstruction results for patient data sets were compared against an available matching-based reconstruction method and showed relative localization difference of 0.5 ± 0.4 mm.<br />Conclusions: The motion compensation method can successfully compensate for large C-arm motion without using radio-opaque fiducial or external trackers. Considering the efficacy of the algorithm, its successful reconstruction rate and low computational burden, the algorithm is feasible for clinical use.
- Subjects :
- Algorithms
Calibration
Equipment Design
Fluoroscopy methods
Humans
Image Processing, Computer-Assisted methods
Male
Monitoring, Intraoperative methods
Motion
Oscillometry methods
Phantoms, Imaging
Reproducibility of Results
Ultrasonography methods
Brachytherapy methods
Prostatic Neoplasms radiotherapy
Radiometry methods
Subjects
Details
- Language :
- English
- ISSN :
- 0094-2405
- Volume :
- 38
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Medical physics
- Publication Type :
- Academic Journal
- Accession number :
- 21992346
- Full Text :
- https://doi.org/10.1118/1.3633897