title: Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy.
abstract: This paper details an algorithm to simultaneously perform registration of computed tomography (CT) and cone-beam computed (CBCT) images, and image enhancement of CBCT. The algorithm employs a viscous fluid model which naturally incorporates two components: a similarity measure for registration and an intensity correction term for image enhancement. Incorporating an intensity correction term improves the registration results. Furthermore, applying the image enhancement term to CBCT imagery leads to an intensity corrected CBCT with better image quality. To achieve minimal processing time, the algorithm is implemented on a graphic processing unit (GPU) platform. The advantage of the simultaneous optimization strategy is quantitatively validated and discussed using a synthetic example. The effectiveness of the proposed algorithm is then illustrated using six patient datasets, three head-and-neck datasets and three prostate datasets.
authors: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. louyifei@gmail.com
authors: Yifei
authors: Y
authors: Lou
authors: Tianye
authors: T
authors: Niu
authors: Xun
authors: X
authors: Jia
authors: Patricio A
authors: PA
authors: Vela
authors: Lei
authors: L
authors: Zhu
authors: Allen R
authors: AR
authors: Tannenbaum
mesh_terms: D054893:Cone-Beam Computed Tomography / Q000379:methods*; D005260:Female; D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D061089:Radiotherapy, Image-Guided / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique