The application of distance transformation on parameter optimization of inverse planning in intensity-modulated radiation therapy.
Abstract
In inverse planning for intensity-modulated radiation therapy (IMRT), the dose specification
and related weighting factor of an objective function for involved organs is usually
predefined by a single value and then iteratively optimized, subject to a set of dose-volume
constraints. Because the actual dose distribution is essentially non-uniform and considerably
affected by the geometric shape and distribution of the anatomic structures involved,
the spatial information regarding those structures should be incorporated such that
the predefined parameter distribution is made to approach the clinically expected
distribution. Ideally, these parameter distributions should be predefined on a voxel
basis in a manual method. However, such an approach is too time-consuming to be feasible
in routine use. In the present study, we developed a computer-aided method to achieve
the goal described above, producing a non-uniform parameter distribution based on
spatial information about the anatomic structures involved. The method consists of
two steps: Use distance transformation technique to calculate the distance distribution
of the structures. Based on the distance distribution, produce the parameter distribution
via a function guided by prior knowledge. We use two simulated cases to examine the
effectiveness of the method. The results indicate that application of a non-uniform
parameter distribution produced by distance transformation clearly improves dose-sparing
of critical organs without compromising dose coverage of the planning target.
Type
Journal articlePermalink
https://hdl.handle.net/10161/19395Published Version (Please cite this version)
10.1120/jacmp.v9i2.2750Publication Info
Yan, Hui; & Yin, Fang-Fang (2008). The application of distance transformation on parameter optimization of inverse planning
in intensity-modulated radiation therapy. Journal of applied clinical medical physics, 9(2). pp. 2750. 10.1120/jacmp.v9i2.2750. Retrieved from https://hdl.handle.net/10161/19395.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
Collections
More Info
Show full item recordScholars@Duke
Fang-Fang Yin
Gustavo S. Montana Distinguished Professor of Radiation Oncology
Stereotactic radiosurgery, Stereotactic body radiation therapy, treatment planning
optimization, knowledge guided radiation therapy, intensity-modulated radiation therapy,
image-guided radiation therapy, oncological imaging and informatics

Articles written by Duke faculty are made available through the campus open access policy. For more information see: Duke Open Access Policy
Rights for Collection: Scholarly Articles
Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info