title: An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy.
abstract: External beam radiotherapy (EBRT) has become the preferred options for nonsurgical treatment of prostate cancer and cervix cancer. In order to deliver higher doses to cancerous regions within these pelvic structures (i.e. prostate or cervix) while maintaining or lowering the doses to surrounding non-cancerous regions, it is critical to account for setup variation, organ motion, anatomical changes due to treatment and intra-fraction motion. In previous work, manual segmentation of the soft tissues is performed and then images are registered based on the manual segmentation. In this paper, we present an integrated automatic approach to multiple organ segmentation and nonrigid constrained registration, which can achieve these two aims simultaneously. The segmentation and registration steps are both formulated using a Bayesian framework, and they constrain each other using an iterative conditional model strategy. We also propose a new strategy to assess cumulative actual dose for this novel integrated algorithm, in order to both determine whether the intended treatment is being delivered and, potentially, whether or not a plan should be adjusted for future treatment fractions. Quantitative results show that the automatic segmentation produced results that have an accuracy comparable to manual segmentation, while the registration part significantly outperforms both rigid and nonrigid registration. Clinical application and evaluation of dose delivery show the superiority of proposed method to the procedure currently used in clinical practice, i.e. manual segmentation followed by rigid registration.
authors.affiliation: Department of Electrical Engineering, Yale University, New Haven, CT 06520, USA. chao.lu@yale.edu
authors.forename: Chao
authors.initials: C
authors.lastname: Lu
authors.forename: Sudhakar
authors.initials: S
authors.lastname: Chelikani
authors.forename: Xenophon
authors.initials: X
authors.lastname: Papademetris
authors.forename: Jonathan P
authors.initials: JP
authors.lastname: Knisely
authors.forename: Michael F
authors.initials: MF
authors.lastname: Milosevic
authors.forename: Zhe
authors.initials: Z
authors.lastname: Chen
authors.forename: David A
authors.initials: DA
authors.lastname: Jaffray
authors.forename: Lawrence H
authors.initials: LH
authors.lastname: Staib
authors.forename: James S
authors.initials: JS
authors.lastname: Duncan
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; 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*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D018511:Systems Integration; D014057:Tomography, X-Ray Computed / Q000379:methods*; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*