skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Automated Contour Mapping With a Regional Deformable Model

Journal Article · · International Journal of Radiation Oncology, Biology and Physics
; ; ;  [1]
  1. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA (United States)

Purpose: To develop a regional narrow-band algorithm to auto-propagate the contour surface of a region of interest (ROI) from one phase to other phases of four-dimensional computed tomography (4D-CT). Methods and Materials: The ROI contours were manually delineated on a selected phase of 4D-CT. A narrow band encompassing the ROI boundary was created on the image and used as a compact representation of the ROI surface. A BSpline deformable registration was performed to map the band to other phases. A Mattes mutual information was used as the metric function, and the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm was used to optimize the function. After registration the deformation field was extracted and used to transform the manual contours to other phases. Bidirectional contour mapping was introduced to evaluate the proposed technique. The new algorithm was tested on synthetic images and applied to 4D-CT images of 4 thoracic patients and a head-and-neck Cone-beam CT case. Results: Application of the algorithm to synthetic images and Cone-beam CT images indicates that an accuracy of 1.0 mm is achievable and that 4D-CT images show a spatial accuracy better than 1.5 mm for ROI mappings between adjacent phases, and 3 mm in opposite-phase mapping. Compared with whole image-based calculations, the computation was an order of magnitude more efficient, in addition to the much-reduced computer memory consumption. Conclusions: A narrow-band model is an efficient way for contour mapping and should find widespread application in future 4D treatment planning.

OSTI ID:
21039772
Journal Information:
International Journal of Radiation Oncology, Biology and Physics, Vol. 70, Issue 2; Other Information: DOI: 10.1016/j.ijrobp.2007.09.057; PII: S0360-3016(07)04437-9; Copyright (c) 2008 Elsevier Science B.V., Amsterdam, Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); ISSN 0360-3016
Country of Publication:
United States
Language:
English

Similar Records

Image registration with auto-mapped control volumes
Journal Article · Sat Apr 15 00:00:00 EDT 2006 · Medical Physics · OSTI ID:21039772

Narrow band deformable registration of prostate magnetic resonance imaging, magnetic resonance spectroscopic imaging, and computed tomography studies
Journal Article · Wed Jun 01 00:00:00 EDT 2005 · International Journal of Radiation Oncology, Biology and Physics · OSTI ID:21039772

Automated contour mapping using sparse volume sampling for 4D radiation therapy
Journal Article · Mon Oct 15 00:00:00 EDT 2007 · Medical Physics · OSTI ID:21039772