Journal article
Geometrically based optimization for extracranial radiosurgery
Physics in medicine & biology, Vol.49(6), pp.987-996
03/21/2004
DOI: 10.1088/0031-9155/49/6/009
PMID: 15104321
Abstract
For static beam conformal intracranial radiosurgery, geometry of the beam arrangement dominates overall dose distribution. Maximizing beam separation in three dimensions decreases beam overlap, thus maximizing dose conformality and gradient outside of the target volume. Webb proposed arrangements of isotropically convergent beams that could be used as the starting point for a radiotherapy optimization process. We have developed an extracranial radiosurgery optimization method by extending Webb's isotropic beam arrangements to deliverable beam arrangements. This method uses an arrangement of N maximally separated converging vectors within the space available for beam delivery. Each bouquet of isotropic beam vectors is generated by a random sampling process that iteratively maximizes beam separation. Next, beam arrangement is optimized for critical structure avoidance while maintaining minimal overlap between beam entrance and exit pathways. This geometrically optimized beam set can then be used as a template for either conformal beam or intensity modulated extracranial radiosurgery. Preliminary results suggest that using this technique with conformal beam planning provides high plan conformality, a steep dose gradient outside of the tumour volume and acceptable critical structure avoidance in the majority of clinical cases.
Details
- Title: Subtitle
- Geometrically based optimization for extracranial radiosurgery
- Creators
- Ruiguo Liu - Department of Radiation Oncology, University of Iowa College of Medicine, W189Z-GH, 200 Hawkins Dr, Iowa City, IA 52242, USAThomas H WagnerJohn M BuattiJoseph ModrickJohn DillSanford L Meeks
- Resource Type
- Journal article
- Publication Details
- Physics in medicine & biology, Vol.49(6), pp.987-996
- Publisher
- England
- DOI
- 10.1088/0031-9155/49/6/009
- PMID
- 15104321
- ISSN
- 0031-9155
- eISSN
- 1361-6560
- Language
- English
- Date published
- 03/21/2004
- Academic Unit
- Radiation Oncology; Neurosurgery; Otolaryngology
- Record Identifier
- 9984040212302771
Metrics
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