Journal
MEDICAL PHYSICS
Volume 41, Issue 12, Pages -Publisher
AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICS
DOI: 10.1118/1.4901265
Keywords
CBCT; PICCS; few-view; low-dose; DPIR; DVF
Funding
- National Natural Science Foundation of China [81371544, 81101046]
- Science and Technology Program of Guangdong Province of China [2011A030300005]
- 973 Program of China [2010CB732503]
- Cancer Prevention and Research Institute of Texas [RP130109, RP110562-P2]
- American Cancer Society [RSG-13-326-01-CCE]
Ask authors/readers for more resources
Purpose: Prior images can be incorporated into the image reconstruction process to improve the quality of subsequent cone-beam CT (CBCT) images from sparse-view or low-dose projections. The purpose of this work is to develop a deformed prior image-based reconstruction (DPIR) strategy to mitigate the deformation between the prior image and the target image. Methods: The deformed prior image is obtained by a projection-based registration approach. Specifically, the deformation vector fields used to deform the prior image are estimated through iteratively matching the forward projection of the deformed prior image and the measured on-treatment projections. The deformed prior image is then used as the prior image in the standard prior image constrained compressed sensing (PICCS) algorithm. A simulation study on an XCAT phantom and a clinical study on a head-and-neck cancer patient were conducted to evaluate the performance of the proposed DPIR strategy. Results: The deformed prior image matches the geometry of the on- treatment CBCT more closely as compared to the original prior image. Consequently, the performance of the DPIR strategy from few-view projections is improved in comparison to the standard PICCS algorithm, based on both visual inspection and quantitative measures. In the XCAT phantom study using 20 projections, the average root mean squared error is reduced from 14% in PICCS to 10% in DPIR, and the average universal quality index increases from 0.88 in PICCS to 0.92 in DPIR. Conclusions: The present DPIR approach provides a practical solution to the mismatch problem between the prior image and target image, which improves the performance of the original PICCS algorithm for CBCT reconstruction from few-view or low-dose projections. (C) 2014 American Association of Physicists in Medicine.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available