Open AccessDetermination of an optimal organ set to implement deformations to support four‐dimensional dose calculations in radiation therapy planning
Author(s) -
Soofi Wafa,
Starkschall George,
Britton Keith,
Vedam Sastry
Publication year - 2008
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1120/jacmp.v9i2.2794
Subject(s) - radiation treatment planning , deformation (meteorology) , radiation therapy , set (abstract data type) , computation , spinal cord , data set , basis (linear algebra) , nuclear medicine , computer science , algorithm , mathematics , medicine , radiology , physics , artificial intelligence , geometry , psychiatry , meteorology , programming language
Surface‐based deformable image registration to generate a four‐dimensional (4D) dose calculation in radiation treatment planning requires the selection of a set of organ contours representing a basis set from which to generate anatomic deformation. The purpose of the present work was to determine the optimal set of organs needed to generate a basis set for deformation in treatment planning for thoracic tumors, such that the required computations are minimized, but that dose accuracy is high. Using retrospectively reviewed records and a deformable model algorithm in a research version of a commercial radiation treatment planning system, we calculated 4D dose distributions based on treatment plans for 10 patients with thoracic tumors. Various combinations of organs (total lungs, heart, spinal cord, external body surface) were used to generate the basis set used in the calculations for deformations. The external surface contour did not have a noticeable effect on the dose calculation. Total lung, heart, and spinal cord together provided an adequate set of deformation organs to generate accurate dose deformations. The magnitude of the calculated dose differences had no obvious relationship to tumor parameters, including site, histologic type, disease stage, extent of motion, or degree of centralization. PACS numbers: 87.55.D‐, 87.55.dk, 87.55.kh