Survey: Real-time tumor motion prediction for image-guided radiation treatment

Poonam S. Verma; Huanmei Wu; Mark P. Langer; Indra J. Das; George Sandison

doi:10.1109/MCSE.2010.99

Survey: Real-time tumor motion prediction for image-guided radiation treatment

Poonam S. Verma^*, Huanmei Wu, Mark P. Langer, Indra J. Das, George Sandison

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

41 Scopus citations

Abstract

Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there's a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.

Original language	English (US)
Article number	5551102
Pages (from-to)	24-35
Number of pages	12
Journal	Computing in Science and Engineering
Volume	13
Issue number	5
DOIs	https://doi.org/10.1109/MCSE.2010.99
State	Published - Sep 2011
Externally published	Yes

Keywords

IGRT
Image-guided radiation therapy
predictive models
scientific computing
tumor motion

ASJC Scopus subject areas

General Computer Science
General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MCSE.2010.99

Cite this

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abstract = "Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there's a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.",

keywords = "IGRT, Image-guided radiation therapy, predictive models, scientific computing, tumor motion",

author = "Verma, {Poonam S.} and Huanmei Wu and Langer, {Mark P.} and Das, {Indra J.} and George Sandison",

year = "2011",

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AU - Wu, Huanmei

AU - Langer, Mark P.

AU - Das, Indra J.

AU - Sandison, George

PY - 2011/9

Y1 - 2011/9

N2 - Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there's a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.

AB - Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there's a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.

KW - IGRT

KW - Image-guided radiation therapy

KW - predictive models

KW - scientific computing

KW - tumor motion

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Survey: Real-time tumor motion prediction for image-guided radiation treatment

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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