Implementation of a fuzzy model for computation of margins in cancer treatment

Bongile Mzenda; Mir Hosseini-Ashrafi; Alex Gegov; David J. Brown

doi:10.1109/FUZZY.2010.5584468

Implementation of a fuzzy model for computation of margins in cancer treatment

Bongile Mzenda
, Mir Hosseini-Ashrafi
, Alex Gegov
, David J. Brown

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

Abstract

A novel application of a knowledge-based fuzzy logic technique was used in this study to derive margins for use in external beam radiotherapy. Radiotherapy uncertainties including set-up, delineation and organ motion-induced errors were used to calculate the changes in prostate radiobiological indices for treatment plans using stepped increments of margin sizes. The results were used to formulate the rule base and membership functions for the Sugeno type fuzzy inference system. The application of a convolution technique was found to improve the imprecision and smoothness of the original fuzzy output. Good agreement was obtained between the proposed fuzzy model margin and currently used radiotherapy margins. The new margin was applied in a prostate cancer treatment planning example and the results compared very well to current techniques.

Original language	English
Title of host publication	2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	8
ISBN (Electronic)	9781424469208
DOIs	https://doi.org/10.1109/FUZZY.2010.5584468
Publication status	Published - Jul 2010
Event	2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010 - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

UN SDGs

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

SDG 3 Good Health and Well-being

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10.1109/FUZZY.2010.5584468

Cite this

@inproceedings{e67653bce4ae4b53b6f9c458b49a0e69,

title = "Implementation of a fuzzy model for computation of margins in cancer treatment",

abstract = "A novel application of a knowledge-based fuzzy logic technique was used in this study to derive margins for use in external beam radiotherapy. Radiotherapy uncertainties including set-up, delineation and organ motion-induced errors were used to calculate the changes in prostate radiobiological indices for treatment plans using stepped increments of margin sizes. The results were used to formulate the rule base and membership functions for the Sugeno type fuzzy inference system. The application of a convolution technique was found to improve the imprecision and smoothness of the original fuzzy output. Good agreement was obtained between the proposed fuzzy model margin and currently used radiotherapy margins. The new margin was applied in a prostate cancer treatment planning example and the results compared very well to current techniques.",

author = "Bongile Mzenda and Mir Hosseini-Ashrafi and Alex Gegov and Brown, \{David J.\}",

note = "Publisher Copyright: {\textcopyright} 2010 IEEE.; 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

year = "2010",

month = jul,

doi = "10.1109/FUZZY.2010.5584468",

language = "English",

series = "IEEE International Conference on Fuzzy Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010",

address = "United States",

}

Mzenda, B, Hosseini-Ashrafi, M, Gegov, A & Brown, DJ 2010, Implementation of a fuzzy model for computation of margins in cancer treatment. in 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010. IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010, Barcelona, Spain, 18/07/10. https://doi.org/10.1109/FUZZY.2010.5584468

Implementation of a fuzzy model for computation of margins in cancer treatment. / Mzenda, Bongile; Hosseini-Ashrafi, Mir; Gegov, Alex et al.
2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010. Institute of Electrical and Electronics Engineers Inc., 2010. (IEEE International Conference on Fuzzy Systems).

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

TY - GEN

T1 - Implementation of a fuzzy model for computation of margins in cancer treatment

AU - Mzenda, Bongile

AU - Hosseini-Ashrafi, Mir

AU - Gegov, Alex

AU - Brown, David J.

PY - 2010/7

Y1 - 2010/7

N2 - A novel application of a knowledge-based fuzzy logic technique was used in this study to derive margins for use in external beam radiotherapy. Radiotherapy uncertainties including set-up, delineation and organ motion-induced errors were used to calculate the changes in prostate radiobiological indices for treatment plans using stepped increments of margin sizes. The results were used to formulate the rule base and membership functions for the Sugeno type fuzzy inference system. The application of a convolution technique was found to improve the imprecision and smoothness of the original fuzzy output. Good agreement was obtained between the proposed fuzzy model margin and currently used radiotherapy margins. The new margin was applied in a prostate cancer treatment planning example and the results compared very well to current techniques.

AB - A novel application of a knowledge-based fuzzy logic technique was used in this study to derive margins for use in external beam radiotherapy. Radiotherapy uncertainties including set-up, delineation and organ motion-induced errors were used to calculate the changes in prostate radiobiological indices for treatment plans using stepped increments of margin sizes. The results were used to formulate the rule base and membership functions for the Sugeno type fuzzy inference system. The application of a convolution technique was found to improve the imprecision and smoothness of the original fuzzy output. Good agreement was obtained between the proposed fuzzy model margin and currently used radiotherapy margins. The new margin was applied in a prostate cancer treatment planning example and the results compared very well to current techniques.

UR - https://www.scopus.com/pages/publications/105032360431

U2 - 10.1109/FUZZY.2010.5584468

DO - 10.1109/FUZZY.2010.5584468

M3 - Conference contribution

T3 - IEEE International Conference on Fuzzy Systems

BT - 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010

Y2 - 18 July 2010 through 23 July 2010

ER -

Implementation of a fuzzy model for computation of margins in cancer treatment

Abstract

Publication series

Conference

UN SDGs

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