A geometrically based method for automated radiosurgery planning

Thomas H Wagner; Taeil Yi; Sanford L Meeks; Francis J Bova; Beverly L Brechner; Yunmei Chen; John M Buatti; William A Friedman; Kelly D Foote; Lionel G Bouchet

doi:10.1016/S0360-3016(00)00790-2

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A geometrically based method for automated radiosurgery planning

Journal article

Peer reviewed

A geometrically based method for automated radiosurgery planning

Thomas H Wagner, Taeil Yi, Sanford L Meeks, Francis J Bova, Beverly L Brechner, Yunmei Chen, John M Buatti, William A Friedman, Kelly D Foote and Lionel G Bouchet

International journal of radiation oncology, biology, physics, Vol.48(5), pp.1599-1611

2000

DOI: 10.1016/S0360-3016(00)00790-2

PMID: 11121667

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Abstract

Purpose: A geometrically based method of multiple isocenter linear accelerator radiosurgery treatment planning optimization was developed, based on a target’s solid shape. Methods and Materials: Our method uses an edge detection process to determine the optimal sphere packing arrangement with which to cover the planning target. The sphere packing arrangement is converted into a radiosurgery treatment plan by substituting the isocenter locations and collimator sizes for the spheres. Results: This method is demonstrated on a set of 5 irregularly shaped phantom targets, as well as a set of 10 clinical example cases ranging from simple to very complex in planning difficulty. Using a prototype implementation of the method and standard dosimetric radiosurgery treatment planning tools, feasible treatment plans were developed for each target. The treatment plans generated for the phantom targets showed excellent dose conformity and acceptable dose homogeneity within the target volume. The algorithm was able to generate a radiosurgery plan conforming to the Radiation Therapy Oncology Group (RTOG) guidelines on radiosurgery for every clinical and phantom target examined. Conclusions: This automated planning method can serve as a valuable tool to assist treatment planners in rapidly and consistently designing conformal multiple isocenter radiosurgery treatment plans.

Stereotactic radiosurgery

Brain neoplasms

Computer-assisted radiotherapy planning

Details

Title: Subtitle: A geometrically based method for automated radiosurgery planning
Creators: Thomas H Wagner - Department of Nuclear and Radiological Engineering, University of Florida, Gainesville, FL, USA
Taeil Yi - Department of Mathematics, University of Florida, Gainesville, FL, USA
Sanford L Meeks - Division of Radiation Oncology, University of Iowa, Iowa City, IA, USA
Francis J Bova - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
Beverly L Brechner - Department of Mathematics, University of Florida, Gainesville, FL, USA
Yunmei Chen - Department of Mathematics, University of Florida, Gainesville, FL, USA
John M Buatti - Division of Radiation Oncology, University of Iowa, Iowa City, IA, USA
William A Friedman - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
Kelly D Foote - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
Lionel G Bouchet - Department of Nuclear and Radiological Engineering, University of Florida, Gainesville, FL, USA
Resource Type: Journal article
Publication Details: International journal of radiation oncology, biology, physics, Vol.48(5), pp.1599-1611
DOI: 10.1016/S0360-3016(00)00790-2
PMID: 11121667
NLM abbreviation: Int J Radiat Oncol Biol Phys
ISSN: 0360-3016
eISSN: 1879-355X
Publisher: Elsevier Inc
Language: English
Date published: 2000
Academic Unit: Radiation Oncology; Neurosurgery; Otolaryngology
Record Identifier: 9984040588402771

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