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Record W2086393005 · doi:10.1118/1.3327458

Verification of source and collimator configuration for Gamma Knife<sup>®</sup> Perfexion™ using panoramic imaging

2010· article· en· W2086393005 on OpenAlexaff
Young‐Bin Cho, Monique van Prooijen, David A. Jaffray, Mohammad K. Islam

Bibliographic record

VenueMedical Physics · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
FundersElekta
KeywordsCollimatorIsocenterCollimated lightImaging phantomRadiosurgeryDosimetryComputer scienceOpticsRadioactive sourceRadiation treatment planningPhysicsNuclear medicineLaserRadiation therapy

Abstract

fetched live from OpenAlex

PURPOSE: The new model of stereotactic radiosurgery system, Gamma Knife Perfexion, allows automatic selection of built-in collimation, eliminating the need for the time consuming manual collimator installation required with previous models. However, the configuration of sources and collimators inside the system does not permit easy access for the verification of the selected collimation. While the conventional method of exposing a film at the isocenter is useful for obtaining composite dose information, it is difficult to interpret the data in terms of the integrity of each individual source and corresponding collimation. The primary aim of this study was to develop a method of verifying the geometric configuration of the sources and collimator modules of the Gamma Knife Perfexion. In addition, the method was extended to make dose measurements and verify the accuracy of dose distributions calculated by the mathematical formalism used in the treatment planning system, Leksell Gamma Plan. METHODS: A panoramic view of all of 192 cobalt sources was simultaneously acquired by exposing a radiochromic film wrapped around the surface of a cylindrical phantom. The center of the phantom was mounted at the isocenter with its axis aligned along the longitudinal axis of the couch. The sizes and shapes of the source images projected on the phantom surface were compared to those calculated based on the manufacturer's design specifications. The measured dose at various points on the film was also compared to calculations using the algorithm of the planning system. RESULTS: The panoramic images allowed clear identification of each of the 192 sources, verifying source integrity and selected collimator sizes. Dose on the film surface is due to the primary beam as well as phantom scatter and leakage contributions. Therefore, the dose at a point away from the isocenter cannot be determined simply based on the proportionality of collimator output factors; the use of a dose computation algorithm is required. Scatter and leakage dose contributions from neighboring sources were calculated and found to be 6.3% (ranging from 4.5% to 7.4%), 16.7% (12.5%-19.3%), and 66.6% (38%-78%) for the 4, 8, and 16 mm collimators, respectively, at the centers of the source images. The measured average dose on films with 16 mm collimators agrees with the dose model of the treatment planning system to within 1.0%. The average doses on the film were 24.0, 60.8, and 186.2 cGy for 4, 8, and 16 mm diameter collimators, respectively, when the machine was set to deliver a reference dose of 100 Gy to the center of an 80 mm radius spherical dosimetry phantom. CONCLUSIONS: A method of simultaneously capturing and analyzing the panoramic images of 192 cobalt sources has been developed to verify the source and collimator configuration of GK systems. The method was extended to verify the dose calculation model of the treatment planning system by comparing the measured doses on the panoramic film images and the corresponding calculated doses. The method presented can play a significant role in comprehensive commissioning and routine quality assurance testing of the Gamma Knife systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.280
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2010
Admission routes1
Has abstractyes

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