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2008 International Conference on BioMedical Engineering and Informatics
MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Yusheng Feng, David Fuentes, Andrea Hawkins, J. Tinsley Oden, "MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 168-172, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.282,
author = {Yusheng Feng and David Fuentes and Andrea Hawkins and J. Tinsley Oden},
title = {MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {168-172},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.282},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques
SN - 978-0-7695-3118-2
SP168
EP172
A1 - Yusheng Feng,
A1 - David Fuentes,
A1 - Andrea Hawkins,
A1 - J. Tinsley Oden,
PY - 2008
KW - Bio-Heat Transfer
KW - Laser Surgery
KW - Imaged-Guided Therapy
KW - Real-Time Control
KW - Cancer Treatment
KW - Inverse Problem
KW - Parallel Computing
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
For cancerous tumors in vital internal organs, minimally invasive laser surgery may be a desirable choice for cancer treatment due to its precise control and compatibility with most of the imaging modalities such as MRI (magnetic resonance imaging). However, the complexity of tumor composition and tissue response to a thermal dose demands real-time optimization and control. In the previous work, weave developed a quite general computational framework that is capable of processing MRI anatomical data, providing pretreatment surgical protocol, and controlling tissue damage based on in vivo MRTI (magnetic resonance thermal imaging) data. In this paper, we describe computational techniques that are involved in real time optimization and control for laser surgical protocols of cancer treatment.
Index Terms:
Bio-Heat Transfer, Laser Surgery, Imaged-Guided Therapy, Real-Time Control, Cancer Treatment, Inverse Problem, Parallel Computing
Citation:
Yusheng Feng, David Fuentes, Andrea Hawkins, J. Tinsley Oden, "MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques," bmei, vol. 2, pp.168-172, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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