Development of a computational paradigm for laser treatment of cancer

J. T. Oden; K. R. Diller; C. Bajaj; J. C. Browne; J. Hazle; I. Babuška; J. Bass; L. Demkowicz; Y. Feng; D. Fuentes; S. Prudhomme; M. N. Rylander; R. J. Stafford; Y. Zhang

doi:10.1007/11758532_70

Development of a computational paradigm for laser treatment of cancer

J. T. Oden^*, K. R. Diller, C. Bajaj, J. C. Browne, J. Hazle, I. Babuška, J. Bass, L. Demkowicz, Y. Feng, D. Fuentes, S. Prudhomme, M. N. Rylander, R. J. Stafford, Y. Zhang

^*Corresponding author for this work

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

15 Scopus citations

Abstract

The goal of this project is to develop a dynamic data-driven planning and control system for laser treatment of cancer. The research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI), and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment.

Original language	English (US)
Title of host publication	Computational Science - ICCS 2006
Subtitle of host publication	6th International Conference, Proceedings
Publisher	Springer Verlag
Pages	530-537
Number of pages	8
ISBN (Print)	3540343830, 9783540343837
DOIs	https://doi.org/10.1007/11758532_70
State	Published - 2006
Externally published	Yes
Event	ICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom Duration: May 28 2006 → May 31 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3993 LNCS - III
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	ICCS 2006: 6th International Conference on Computational Science
Country/Territory	United Kingdom
City	Reading
Period	05/28/06 → 05/31/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

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

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10.1007/11758532_70

Cite this

Oden, J. T., Diller, K. R., Bajaj, C., Browne, J. C., Hazle, J., Babuška, I., Bass, J., Demkowicz, L., Feng, Y., Fuentes, D., Prudhomme, S., Rylander, M. N., Stafford, R. J., & Zhang, Y. (2006). Development of a computational paradigm for laser treatment of cancer. In Computational Science - ICCS 2006: 6th International Conference, Proceedings (pp. 530-537). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3993 LNCS - III). Springer Verlag. https://doi.org/10.1007/11758532_70

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title = "Development of a computational paradigm for laser treatment of cancer",

abstract = "The goal of this project is to develop a dynamic data-driven planning and control system for laser treatment of cancer. The research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI), and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment.",

author = "Oden, {J. T.} and Diller, {K. R.} and C. Bajaj and Browne, {J. C.} and J. Hazle and I. Babu{\v s}ka and J. Bass and L. Demkowicz and Y. Feng and D. Fuentes and S. Prudhomme and Rylander, {M. N.} and Stafford, {R. J.} and Y. Zhang",

year = "2006",

doi = "10.1007/11758532_70",

language = "English (US)",

isbn = "3540343830",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "530--537",

booktitle = "Computational Science - ICCS 2006",

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Oden, JT, Diller, KR, Bajaj, C, Browne, JC, Hazle, J, Babuška, I, Bass, J, Demkowicz, L, Feng, Y, Fuentes, D, Prudhomme, S, Rylander, MN, Stafford, RJ & Zhang, Y 2006, Development of a computational paradigm for laser treatment of cancer. in Computational Science - ICCS 2006: 6th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3993 LNCS - III, Springer Verlag, pp. 530-537, ICCS 2006: 6th International Conference on Computational Science, Reading, United Kingdom, 05/28/06. https://doi.org/10.1007/11758532_70

Development of a computational paradigm for laser treatment of cancer. / Oden, J. T.; Diller, K. R.; Bajaj, C. et al.
Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag, 2006. p. 530-537 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3993 LNCS - III).

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

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AU - Oden, J. T.

AU - Diller, K. R.

AU - Bajaj, C.

AU - Browne, J. C.

AU - Hazle, J.

AU - Babuška, I.

AU - Bass, J.

AU - Demkowicz, L.

AU - Feng, Y.

AU - Fuentes, D.

AU - Prudhomme, S.

AU - Rylander, M. N.

AU - Stafford, R. J.

AU - Zhang, Y.

PY - 2006

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AB - The goal of this project is to develop a dynamic data-driven planning and control system for laser treatment of cancer. The research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI), and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment.

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M3 - Conference contribution

AN - SCOPUS:33746603958

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SN - 9783540343837

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 530

EP - 537

BT - Computational Science - ICCS 2006

PB - Springer Verlag

T2 - ICCS 2006: 6th International Conference on Computational Science

Y2 - 28 May 2006 through 31 May 2006

ER -

Oden JT, Diller KR, Bajaj C, Browne JC, Hazle J, Babuška I et al. Development of a computational paradigm for laser treatment of cancer. In Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag. 2006. p. 530-537. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11758532_70

Development of a computational paradigm for laser treatment of cancer

Abstract

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ASJC Scopus subject areas

UN SDGs

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