Document Detail


Virtual framing: the feasibility of frameless radiosurgical planning for the Gamma Knife.
MedLine Citation:
PMID:  19123885     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECT: Gamma Knife (GK) treatments are typically delivered in 1 day with little opportunity to test different planning strategies. The authors demonstrate 2 methods for imposing GK coordinate systems upon imaging datasets without frame attachment to allow leisurely preprocedural planning, and discuss potential applications. METHODS: A "virtual framing" is constructed by coregistering a CT scan of a Leksell frame with a patient dataset using the GammaPlan (Multiview) module. Equations for skull radii are derived by approximating the skull as an ellipsoid. No proprietary software other than that of the GK system is required. In a second method, images of fiducial markers are directly superimposed on the patient dataset. Validation of the first method was achieved by comparing the lengths of 75 line segments and 60 single shot diameters measured in the virtual coordinates with those measured in real coordinates. In addition to preplanning, 2 applications are discussed. The first is the use of GK software to aid radiosurgical planning for other devices. The second is the use of virtual framing to enhance automatic optimization algorithms. RESULTS: Mean (+/- standard deviation) and root-mean-square differences in lengths were 0.18 +/- 0.32 and 0.37 mm. Mean and root-mean-square differences in diameters of single-shot plans were 0.01 +/- 0.18 and 0.18 mm. CONCLUSIONS: Virtual framing allows exploration of radiosurgical planning strategies prior to the day of treatment using only the GK software. Other applications include enhancement of radiosurgical planning for other systems and enhancement of optimization algorithms.
Authors:
Cole A Giller; Jeffrey A Fiedler
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Publication Detail:
Type:  Case Reports; Journal Article    
Journal Detail:
Title:  Journal of neurosurgery     Volume:  109 Suppl     ISSN:  0022-3085     ISO Abbreviation:  J. Neurosurg.     Publication Date:  2008 Dec 
Date Detail:
Created Date:  2009-01-06     Completed Date:  2009-01-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0253357     Medline TA:  J Neurosurg     Country:  United States    
Other Details:
Languages:  eng     Pagination:  25-33     Citation Subset:  AIM; IM    
Affiliation:
Baylor Radiosurgery Center, Baylor University Medical Center, Dallas, Texas 75246, USA. ColeG@BaylorHealth.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Chordoma / pathology,  radiography,  surgery*
Cohort Studies
Cranial Fossa, Posterior*
Feasibility Studies
Female
Humans
Magnetic Resonance Imaging
Middle Aged
Radiosurgery / instrumentation*,  methods
Reproducibility of Results
Retrospective Studies
Skull Base Neoplasms / pathology,  radiography,  surgery*
Surgery, Computer-Assisted / instrumentation,  methods*
Tomography, X-Ray Computed

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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