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Inter-modality Deformable Registration

Institution:
1Department of Mathematical Sciences, University of Texas, Dallas, TX, USA.
2Departments of Computer Science and Applied Mathematics, Stony Brook University, Stony Brook, NY, USA.
Publication Date:
Oct-2015
Citation:
Ch 10. In: Jia, X., and Jiang, S.B. (Eds.). (2015). Graphics Processing Unit-Based High Performance Computing in Radiation Therapy, CRC Press.
Appears in Collections:
NAC, NA-MIC
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Lou Y., Tannenbaum A. Inter-modality Deformable Registration. Ch 10. In: Jia, X., and Jiang, S.B. (Eds.). (2015). Graphics Processing Unit-Based High Performance Computing in Radiation Therapy, CRC Press.
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Deformable image registration (DIR) is one of the major problems in medical image processing, such as dose calculation [18], treatment planning [33] and scatter removal of cone beam CT (CBCT) [22]. It is of prime importance to establish a pixel-to-pixel correspondence between two images in many clinical scenarios. For instance, registration of a CT image to MRI of a patient taken at different time can provide complementary diagnostic information. For applications as such, since the deformation of the patient anatomy cannot be represented by a rigid transform, DIR is almost the sole means to establish this mapping. DIR can be generally categorized into intra-modality and inter-modality, or multi-modality. While intra-modality DIR can be easily handled by conventional intensity-based methods [11, 30], intermodality DIR problems are still far from being satisfactory. Yet, since different imaging modalities usually provide their unique angles to reveal patient anatomy and delineate microscopic disease, intermodality registration plays a key role to combine the information from multiple modalities to facilitate diagnostics and treatment of a certain disease.