Gamma index calculations

Xuejun Gu

doi:10.1201/b18968

Gamma index calculations

Xuejun Gu

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

THE γ-INDEX CONCEPT INTRODUCED by Low et al. [1] has been widely used to compare two dose distributions in cancer radiotherapy. With the recently developed and more sophisticated treatment modalities such as volumetric-modulated arc therapy (VMAT) [2], the comparison of three-dimensional (3D) dose distributions becomes necessary in patient-specific treatment plans quality assurance (QA). However, comparing two 3D dose distributions is still a time-consuming (e.g., many minutes) task, because of the involvement of computational intensive tasks such as interpolation of dose grid and exhaustive search. There is a clinical need to significantly speed up 3D γ-index computations.

Original language	English (US)
Title of host publication	Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
Publisher	CRC Press
Pages	333-350
Number of pages	18
ISBN (Electronic)	9781482244793
ISBN (Print)	9781482244786
DOIs	https://doi.org/10.1201/b18968
State	Published - Jan 1 2015

ASJC Scopus subject areas

General Medicine
General Physics and Astronomy

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abstract = "THE γ-INDEX CONCEPT INTRODUCED by Low et al. [1] has been widely used to compare two dose distributions in cancer radiotherapy. With the recently developed and more sophisticated treatment modalities such as volumetric-modulated arc therapy (VMAT) [2], the comparison of three-dimensional (3D) dose distributions becomes necessary in patient-specific treatment plans quality assurance (QA). However, comparing two 3D dose distributions is still a time-consuming (e.g., many minutes) task, because of the involvement of computational intensive tasks such as interpolation of dose grid and exhaustive search. There is a clinical need to significantly speed up 3D γ-index computations.",

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AB - THE γ-INDEX CONCEPT INTRODUCED by Low et al. [1] has been widely used to compare two dose distributions in cancer radiotherapy. With the recently developed and more sophisticated treatment modalities such as volumetric-modulated arc therapy (VMAT) [2], the comparison of three-dimensional (3D) dose distributions becomes necessary in patient-specific treatment plans quality assurance (QA). However, comparing two 3D dose distributions is still a time-consuming (e.g., many minutes) task, because of the involvement of computational intensive tasks such as interpolation of dose grid and exhaustive search. There is a clinical need to significantly speed up 3D γ-index computations.

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Gamma index calculations

Abstract

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