title: Image estimation from marker locations for dose calculation in prostate radiation therapy.
abstract: Tracking implanted markers in the prostate during each radiation treatment delivery provides an accurate approximation of prostate location, which enables the use of higher daily doses with tighter margins of the treatment beams and thus improves the efficiency of the radiotherapy. However, the lack of 3D image data with such a technique prevents calculation of delivered dose as required for adaptive planning. We propose to use a reference statistical shape model generated from the planning image and a deformed version of the reference model fitted to the implanted marker locations during treatment to estimate a regionally dense deformation from the planning space to the treatment space. Our method provides a means of estimating the treatment image by mapping planning image data to treatment space via the deformation field and therefore enables the calculation of dose distributions with marker tracking techniques during each treatment delivery.
authors.affiliation: Dept. of Computer Science, University of North Carolina at Chapel Hill, USA.
authors.forename: Huai-Ping
authors.initials: HP
authors.lastname: Lee
authors.forename: Mark
authors.initials: M
authors.lastname: Foskey
authors.forename: Josh
authors.initials: J
authors.lastname: Levy
authors.forename: Rohit
authors.initials: R
authors.lastname: Saboo
authors.forename: Ed
authors.initials: E
authors.lastname: Chaney
mesh_terms: D000465:Algorithms; D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D011829:Radiation Dosage; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011874:Radiometry / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*