PURPOSE: Daily prostate deformation hinders accurate calculation of dose, especially to intraprostatic targets. We implemented a three-dimensional deformable registration algorithm to aid dose tracking for targeted prostate radiotherapy. METHODS AND MATERIALS: The algorithm registers two computed tomography (CT) scans by iteratively minimizing their differences in image intensity. For validation, we measured the accuracy in registering (a) a pelvic CT set to its mathematically deformed counterpart, (b) CT scans of a deformable pelvic phantom with and without an endorectal balloon inflated, to simulate intraprostatic targets, 23 CT-opaque seeds were embedded in the prostate, and (c) two pelvic CT scans of a patient obtained on 2 separate days. RESULTS: The mean (SD) error in registering the pelvic CT set to its transformed set was 0.5 mm (1.5), with correlation coefficient improvement from 0.626 to 0.991. Using the deformable pelvic phantom, the correlation coefficient improved from 0.543 to 0.816 after registration. The mean (SD) error in tracking the intraprostatic seeds was 0.8 mm (0.5). The correlation coefficient improved from 0.610 to 0.944 after registration of the two patient CT sets. CONCLUSION: The algorithm had an accuracy of about 1 mm. It could be used for optimizing dose calculation and delivery for prostate radiotherapy.
PURPOSE: Daily prostate deformation hinders accurate calculation of dose, especially to intraprostatic targets. We implemented a three-dimensional deformable registration algorithm to aid dose tracking for targeted prostate radiotherapy. METHODS AND MATERIALS: The algorithm registers two computed tomography (CT) scans by iteratively minimizing their differences in image intensity. For validation, we measured the accuracy in registering (a) a pelvic CT set to its mathematically deformed counterpart, (b) CT scans of a deformable pelvic phantom with and without an endorectal balloon inflated, to simulate intraprostatic targets, 23 CT-opaque seeds were embedded in the prostate, and (c) two pelvic CT scans of a patient obtained on 2 separate days. RESULTS: The mean (SD) error in registering the pelvic CT set to its transformed set was 0.5 mm (1.5), with correlation coefficient improvement from 0.626 to 0.991. Using the deformable pelvic phantom, the correlation coefficient improved from 0.543 to 0.816 after registration. The mean (SD) error in tracking the intraprostatic seeds was 0.8 mm (0.5). The correlation coefficient improved from 0.610 to 0.944 after registration of the two patient CT sets. CONCLUSION: The algorithm had an accuracy of about 1 mm. It could be used for optimizing dose calculation and delivery for prostate radiotherapy.
Authors: Arya Amini; Jinzhong Yang; Ryan Williamson; Michelle L McBurney; Jeremy Erasmus; Pamela K Allen; Mandar Karhade; Ritsuko Komaki; Zhongxing Liao; Daniel Gomez; James Cox; Lei Dong; James Welsh Journal: Int J Radiat Oncol Biol Phys Date: 2012-03-01 Impact factor: 7.038
Authors: Rojano Kashani; Martina Hub; James M Balter; Marc L Kessler; Lei Dong; Lifei Zhang; Lei Xing; Yaoqin Xie; David Hawkes; Julia A Schnabel; Jamie McClelland; Sarang Joshi; Quan Chen; Weiguo Lu Journal: Med Phys Date: 2008-12 Impact factor: 4.071
Authors: Hiroyuki Oya; Hiroto Kawasaki; Nader S Dahdaleh; John A Wemmie; Matthew A Howard Journal: Stereotact Funct Neurosurg Date: 2009-06-26 Impact factor: 1.875
Authors: Kleopatra Pirpinia; Peter A N Bosman; Claudette E Loo; Nicola S Russell; Marcel B van Herk; Tanja Alderliesten Journal: J Med Imaging (Bellingham) Date: 2018-10-30
Authors: Jaden D Evans; Daniel R Gomez; Arya Amini; Neal Rebueno; Pamela K Allen; Mary K Martel; Justin M Rineer; Kie Kian Ang; Sarah McAvoy; James D Cox; Ritsuko Komaki; James W Welsh Journal: Radiother Oncol Date: 2013-02-28 Impact factor: 6.280