title: Constrained non-rigid registration for use in image-guided adaptive radiotherapy.
abstract: A constrained non-rigid registration (CNRR) algorithm for use in prostate image-guided adaptive radiotherapy is presented in a coherent mathematical framework. The registration algorithm is based on a global rigid transformation combined with a series of local injective non-rigid multi-resolution cubic B-spline Free Form Deformation (FFD) transformations. The control points of the FFD are used to non-rigidly constrain the transformation to the prostate, rectum, and bladder. As well, the control points are used to rigidly constrain the transformation to the estimated position of the pelvis, left femur, and right femur. The algorithm was tested with both 3D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) dose plan data sets. The 3DCRT dose plan set consisted of 10 fan-beam CT (FBCT) treatment-day images acquired from four different patients. The IMRT dose plan set consisted of 32 cone-beam CT (CBCT) treatment-day images acquired from 4 different patients. The CNRR was tested with different combinations of anatomical constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR results were used to adapt the dose plans to account for patient positioning errors as well as inter-day bone motion and intrinsic organ deformation. Each adapted dose plan improved performance by lowering radiation distribution to the rectum and bladder while increasing or maintaining radiation distribution to the prostate.
authors.affiliation: Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA. william.h.greene@aya.yale.edu
authors.forename: W H
authors.initials: WH
authors.lastname: Greene
authors.forename: S
authors.initials: S
authors.lastname: Chelikani
authors.forename: K
authors.initials: K
authors.lastname: Purushothaman
authors.forename: J P S
authors.initials: JP
authors.lastname: Knisely
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: X
authors.initials: X
authors.lastname: Papademetris
authors.forename: L H
authors.initials: LH
authors.lastname: Staib
authors.forename: J S
authors.initials: JS
authors.lastname: Duncan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011881:Radiotherapy, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*
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