Measuring radiation treatment plan similarity in the cloud

J. Andrea; C. Pinter; Gabor Fichtinger

doi:10.1007/978-3-319-19387-8_105

Measuring radiation treatment plan similarity in the cloud

J. Andrea, C. Pinter, Gabor Fichtinger

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

Abstract

Radiation therapy is a form of cancer treatment in which carefully designed plans are used to direct treatment over multiple occasions (fractions). Creating radiation plans is quite laborious, so it is not feasible to manually create a plan for each fraction to maintain treatment quality. We propose to use a database of plans to find the most similar anatomy, based on which a suitable daily plan might be automatically created, thus reducing staff time. However, the computation for finding the most similar plan is long and computationally intensive. We present a method for finding the most similar plan using cloud resources to reduce computation time. The preliminary, unoptimized implementation finds the most similar plan in less than 7 minutes when choosing from five plans, and it is anticipated that increasing the number of plans will result in only a small relative increase in computation time.

Original language	English (US)
Title of host publication	IFMBE Proceedings
Publisher	Springer Verlag
Pages	432-435
Number of pages	4
Volume	51
ISBN (Print)	9783319193878
DOIs	https://doi.org/10.1007/978-3-319-19387-8_105
State	Published - 2015
Externally published	Yes
Event	World Congress on Medical Physics and Biomedical Engineering, 2015 - Toronto, Canada Duration: Jun 7 2015 → Jun 12 2015

Other

Other	World Congress on Medical Physics and Biomedical Engineering, 2015
Country/Territory	Canada
City	Toronto
Period	6/7/15 → 6/12/15

ASJC Scopus subject areas

Biomedical Engineering
Bioengineering

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10.1007/978-3-319-19387-8_105

Cite this

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title = "Measuring radiation treatment plan similarity in the cloud",

abstract = "Radiation therapy is a form of cancer treatment in which carefully designed plans are used to direct treatment over multiple occasions (fractions). Creating radiation plans is quite laborious, so it is not feasible to manually create a plan for each fraction to maintain treatment quality. We propose to use a database of plans to find the most similar anatomy, based on which a suitable daily plan might be automatically created, thus reducing staff time. However, the computation for finding the most similar plan is long and computationally intensive. We present a method for finding the most similar plan using cloud resources to reduce computation time. The preliminary, unoptimized implementation finds the most similar plan in less than 7 minutes when choosing from five plans, and it is anticipated that increasing the number of plans will result in only a small relative increase in computation time.",

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doi = "10.1007/978-3-319-19387-8_105",

language = "English (US)",

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volume = "51",

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T1 - Measuring radiation treatment plan similarity in the cloud

AU - Andrea, J.

AU - Pinter, C.

AU - Fichtinger, Gabor

PY - 2015

Y1 - 2015

N2 - Radiation therapy is a form of cancer treatment in which carefully designed plans are used to direct treatment over multiple occasions (fractions). Creating radiation plans is quite laborious, so it is not feasible to manually create a plan for each fraction to maintain treatment quality. We propose to use a database of plans to find the most similar anatomy, based on which a suitable daily plan might be automatically created, thus reducing staff time. However, the computation for finding the most similar plan is long and computationally intensive. We present a method for finding the most similar plan using cloud resources to reduce computation time. The preliminary, unoptimized implementation finds the most similar plan in less than 7 minutes when choosing from five plans, and it is anticipated that increasing the number of plans will result in only a small relative increase in computation time.

AB - Radiation therapy is a form of cancer treatment in which carefully designed plans are used to direct treatment over multiple occasions (fractions). Creating radiation plans is quite laborious, so it is not feasible to manually create a plan for each fraction to maintain treatment quality. We propose to use a database of plans to find the most similar anatomy, based on which a suitable daily plan might be automatically created, thus reducing staff time. However, the computation for finding the most similar plan is long and computationally intensive. We present a method for finding the most similar plan using cloud resources to reduce computation time. The preliminary, unoptimized implementation finds the most similar plan in less than 7 minutes when choosing from five plans, and it is anticipated that increasing the number of plans will result in only a small relative increase in computation time.

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AN - SCOPUS:84944326980

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BT - IFMBE Proceedings

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T2 - World Congress on Medical Physics and Biomedical Engineering, 2015

Y2 - 7 June 2015 through 12 June 2015

ER -

Measuring radiation treatment plan similarity in the cloud

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