7527

CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction

Xin Zhen, Xuejun Gu, Hao Yan, Linghong Zhou, Xun Jia, Steve B. Jiang
Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92037-0843, USA
arXiv:1204.6295v1 [physics.med-ph] (27 Apr 2012)

@article{2012arXiv1204.6295Z,

   author={Zhen}, X. and {Gu}, X. and {Yan}, H. and {Zhou}, L. and {Jia}, X. and {Jiang}, S.~B.},

   title={"{CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction}"},

   journal={ArXiv e-prints},

   archivePrefix={"arXiv"},

   eprint={1204.6295},

   primaryClass={"physics.med-ph"},

   keywords={Physics – Medical Physics},

   year={2012},

   month={apr},

   adsurl={http://adsabs.harvard.edu/abs/2012arXiv1204.6295Z},

   adsnote={Provided by the SAO/NASA Astrophysics Data System}

}

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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.
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