Thermal analysis of cancerous breast model

Arjun S Chanmugam, Rajeev Hatwar, Cila Herman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Breast cancer is one of the most common and dangerous cancers. Subsurface breast cancer lesions generate more heat and have increased blood supply when compared to healthy tissue, and this temperature rise is mirrored in the skin surface temperature. The rise in temperature on the skin surface, caused by the cancerous lesion, can be measured noninvasively using infrared thermography, which can be used as a diagnostic tool to detect the presence of a lesion. However, its diagnostic ability is limited when image interpretation relies on qualitative principles. In this study, we present a quantitative thermal analysis of breast cancer using a 3D computational model of the breast. The COMSOL FEM software was used to carry out the analysis. The effect of various parameters (tumor size, location, metabolic heat generation and blood perfusion rate) on the surface temperature distribution (which can be measured with infrared thermography) has been analyzed. Key defining features of the surface temperature profile have been identified, which can be used to estimate the size and location of the tumor based on (measured) surface temperature data. In addition, we employed a dynamic cooling process, to analyze surface temperature distributions during cooling and thermal recovery as a function of time. In this study, the effect of the cooling temperature on the enhancement of the temperature differences between normal tissue and cancerous lesions is evaluated. This study demonstrates that a quantification of temperature distributions by computational modeling, combined with thermographic imaging and dynamic cooling can be an important tool in the early detection of breast cancer.

Original languageEnglish (US)
Title of host publicationASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Pages135-143
Number of pages9
Volume2
DOIs
StatePublished - 2012
EventASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012 - Houston, TX, United States
Duration: Nov 9 2012Nov 15 2012

Other

OtherASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012
CountryUnited States
CityHouston, TX
Period11/9/1211/15/12

Fingerprint

Thermoanalysis
Cooling
Temperature distribution
Temperature
Tumors
Skin
Blood
Tissue
Heat generation
Imaging techniques
Finite element method
Recovery

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Chanmugam, A. S., Hatwar, R., & Herman, C. (2012). Thermal analysis of cancerous breast model. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) (Vol. 2, pp. 135-143) https://doi.org/10.1115/IMECE2012-88244

Thermal analysis of cancerous breast model. / Chanmugam, Arjun S; Hatwar, Rajeev; Herman, Cila.

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 2 2012. p. 135-143.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chanmugam, AS, Hatwar, R & Herman, C 2012, Thermal analysis of cancerous breast model. in ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). vol. 2, pp. 135-143, ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012, Houston, TX, United States, 11/9/12. https://doi.org/10.1115/IMECE2012-88244
Chanmugam AS, Hatwar R, Herman C. Thermal analysis of cancerous breast model. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 2. 2012. p. 135-143 https://doi.org/10.1115/IMECE2012-88244
Chanmugam, Arjun S ; Hatwar, Rajeev ; Herman, Cila. / Thermal analysis of cancerous breast model. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 2 2012. pp. 135-143
@inproceedings{cd27f20b566f495394021369dc475176,
title = "Thermal analysis of cancerous breast model",
abstract = "Breast cancer is one of the most common and dangerous cancers. Subsurface breast cancer lesions generate more heat and have increased blood supply when compared to healthy tissue, and this temperature rise is mirrored in the skin surface temperature. The rise in temperature on the skin surface, caused by the cancerous lesion, can be measured noninvasively using infrared thermography, which can be used as a diagnostic tool to detect the presence of a lesion. However, its diagnostic ability is limited when image interpretation relies on qualitative principles. In this study, we present a quantitative thermal analysis of breast cancer using a 3D computational model of the breast. The COMSOL FEM software was used to carry out the analysis. The effect of various parameters (tumor size, location, metabolic heat generation and blood perfusion rate) on the surface temperature distribution (which can be measured with infrared thermography) has been analyzed. Key defining features of the surface temperature profile have been identified, which can be used to estimate the size and location of the tumor based on (measured) surface temperature data. In addition, we employed a dynamic cooling process, to analyze surface temperature distributions during cooling and thermal recovery as a function of time. In this study, the effect of the cooling temperature on the enhancement of the temperature differences between normal tissue and cancerous lesions is evaluated. This study demonstrates that a quantification of temperature distributions by computational modeling, combined with thermographic imaging and dynamic cooling can be an important tool in the early detection of breast cancer.",
author = "Chanmugam, {Arjun S} and Rajeev Hatwar and Cila Herman",
year = "2012",
doi = "10.1115/IMECE2012-88244",
language = "English (US)",
isbn = "9780791845189",
volume = "2",
pages = "135--143",
booktitle = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

}

TY - GEN

T1 - Thermal analysis of cancerous breast model

AU - Chanmugam, Arjun S

AU - Hatwar, Rajeev

AU - Herman, Cila

PY - 2012

Y1 - 2012

N2 - Breast cancer is one of the most common and dangerous cancers. Subsurface breast cancer lesions generate more heat and have increased blood supply when compared to healthy tissue, and this temperature rise is mirrored in the skin surface temperature. The rise in temperature on the skin surface, caused by the cancerous lesion, can be measured noninvasively using infrared thermography, which can be used as a diagnostic tool to detect the presence of a lesion. However, its diagnostic ability is limited when image interpretation relies on qualitative principles. In this study, we present a quantitative thermal analysis of breast cancer using a 3D computational model of the breast. The COMSOL FEM software was used to carry out the analysis. The effect of various parameters (tumor size, location, metabolic heat generation and blood perfusion rate) on the surface temperature distribution (which can be measured with infrared thermography) has been analyzed. Key defining features of the surface temperature profile have been identified, which can be used to estimate the size and location of the tumor based on (measured) surface temperature data. In addition, we employed a dynamic cooling process, to analyze surface temperature distributions during cooling and thermal recovery as a function of time. In this study, the effect of the cooling temperature on the enhancement of the temperature differences between normal tissue and cancerous lesions is evaluated. This study demonstrates that a quantification of temperature distributions by computational modeling, combined with thermographic imaging and dynamic cooling can be an important tool in the early detection of breast cancer.

AB - Breast cancer is one of the most common and dangerous cancers. Subsurface breast cancer lesions generate more heat and have increased blood supply when compared to healthy tissue, and this temperature rise is mirrored in the skin surface temperature. The rise in temperature on the skin surface, caused by the cancerous lesion, can be measured noninvasively using infrared thermography, which can be used as a diagnostic tool to detect the presence of a lesion. However, its diagnostic ability is limited when image interpretation relies on qualitative principles. In this study, we present a quantitative thermal analysis of breast cancer using a 3D computational model of the breast. The COMSOL FEM software was used to carry out the analysis. The effect of various parameters (tumor size, location, metabolic heat generation and blood perfusion rate) on the surface temperature distribution (which can be measured with infrared thermography) has been analyzed. Key defining features of the surface temperature profile have been identified, which can be used to estimate the size and location of the tumor based on (measured) surface temperature data. In addition, we employed a dynamic cooling process, to analyze surface temperature distributions during cooling and thermal recovery as a function of time. In this study, the effect of the cooling temperature on the enhancement of the temperature differences between normal tissue and cancerous lesions is evaluated. This study demonstrates that a quantification of temperature distributions by computational modeling, combined with thermographic imaging and dynamic cooling can be an important tool in the early detection of breast cancer.

UR - http://www.scopus.com/inward/record.url?scp=84887263710&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84887263710&partnerID=8YFLogxK

U2 - 10.1115/IMECE2012-88244

DO - 10.1115/IMECE2012-88244

M3 - Conference contribution

SN - 9780791845189

VL - 2

SP - 135

EP - 143

BT - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

ER -