Thermal Analysis of Realistic Breast Model With Tumor and Validation by Infrared Images

2021 ◽  
pp. 208-218
Author(s):  
Deepika Singh ◽  
Ashutosh Kumar Singh ◽  
Sonia Tiwari
Keyword(s):  
Breast Cancer ◽  
Thermal Analysis ◽  
Steady State ◽  
Thermal Model ◽  
Infrared Imaging ◽  
Ductal Carcinoma ◽  
Blood Perfusion ◽  
Breast Cancer Detection ◽  
Surface Geometry ◽  
Breast Thermography

Breast thermography is an emerging adjunct tool to mammography in early breast cancer detection due to its non-invasiveness and safety. Steady-state infrared imaging proves promising in this field as it is not affected by tissue density. The main aim of the present study is to develop a computational thermal model of breast cancer using real breast surface geometry and internal tumor specification. The model depicting the thermal profile of the subject's aggressive ductal carcinoma is calibrated by variation of blood perfusion and metabolic heat generation rate. The subject's IR image is used for validation of the simulated temperature profile. The thermal breast model presented here may prove useful in monitoring the response of tumor post-chemotherapy for female subjects with similar breast cancer characteristics.

Feasibility of New-generation Infrared Imaging Screening for Breast Cancer in Rural Communities

2010 ◽  
Vol 06 ◽  
pp. 60
Author(s):  
Francisco Gutierrez-Delgado ◽  
José Guadalupe Vázquez-Luna ◽  
◽  
Keyword(s):  
Breast Cancer ◽  
Rural Communities ◽  
Early Detection ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Infrared Imaging ◽  
Breast Cancer Detection ◽  
Southern Mexico ◽  
Breast Thermography ◽  
New Generation

Breast cancer is a major public health problem worldwide. Important advances have improved survival, but early detection remains the main clinical challenge in reducing mortality. Currently, mammography is the ‘gold standard’ tool for breast cancer screening. However, the search for an early breast cancer detection method is the subject of extensive research. Although infrared imaging or breast thermography for early breast cancer detection has been evaluated since the late 1950s, the negative results reported in 1979 by the Breast Cancer Detection and Demonstration Project decreased interest in this imaging modality. Advances in infrared imaging and reduced equipment costs have, however, renewed interest in breast thermography. Breast cancer in developing countries requires new strategies to increase early detection and access to care. In this article, we highlight the principles and advances of infrared imaging technology and describe our experience with new-generation infrared imaging for early breast cancer detection in rural communities in southern Mexico.

A Comparative Analysis of the Tumor Pathology and the Metabolic Heat Generation of Growing Malignant Tumors

2020 ◽  
Author(s):  
Alyssa Owens ◽  
Manasi Godbole ◽  
Donnette Dabydeen ◽  
Lori Medeiros ◽  
Pradyumna Phatak ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heat Generation ◽  
Infrared Imaging ◽  
Malignant Tumors ◽  
Blood Perfusion ◽  
The United States ◽  
Generation Rate ◽  
Heat Generation Rate ◽  
Clinical Patient ◽  
Tumor Pathology

Abstract Cancer is one of the most debilitating diseases in the world, affecting over 9.6 million people worldwide every year. Breast cancer remains the second largest cause of death in women. Despite major advances in treatment, over 40,920 women died of breast cancer in 2018 in the United States alone. Early detection of abnormal masses can be crucial for diagnosis and dramatically increase survival. Current screening techniques have varying accuracy and perform poorly when used on heterogeneously and extremely dense breast tissue. Infrared imaging has the potential to detect growing tumors within the breast based on thermal signatures on the breast surface by imaging temperature gradients induced by blood perfusion and tumor metabolic activity. Using clinical patient images, previous methods to estimate tumor properties involve an iterative algorithm to estimate the tumor position and diameter. The details from the MRI are used in estimating the volumetric heat generation rate. This is compared with the published values and the reasons for differences are investigated. The tumor pathology is used in estimating the expected growth rate and compared with the predicted values. The correlation between the tumor characteristics and heat generation rate is fundamental information that is needed in accurately predicting the tumor size and location.

scholarly journals Breast Cancer Detection using Residual Convolutional Neural Network and Weighted Loss

2019 ◽  
Vol 11 (2) ◽  
pp. 43
Author(s):  
Samuel Aji Sena ◽  
Panca Mudjirahardjo ◽  
Sholeh Hadi Pramono
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Cancer Detection ◽  
Ductal Carcinoma ◽  
Detection System ◽  
Breast Cancer Detection ◽  
University Of Pennsylvania ◽  
Training Approach

This research presents a breast cancer detection system using deep learning method. Breast cancer detection in a large slide of biopsy image is a hard task because it needs manual observation by a pathologist to find the malignant region. The deep learning model used in this research is made up of multiple layers of the residual convolutional neural network, and instead of using another type of classifier, a multilayer neural network was used as the classifier and stacked together and trained using end-to-end training approach. The system is trained using invasive ductal carcinoma dataset from the Hospital of the University of Pennsylvania and The Cancer Institute of New Jersey. From this dataset, 80% and 20% were randomly sampled and used as training and testing data respectively. Training a neural network on an imbalanced dataset is quite challenging. Weighted loss function was used as the objective function to tackle this problem. We achieve 78.26% and 78.03% for Recall and F1-Score metrics, respectively which are an improvement compared to the previous approach.

scholarly journals Does three-dimensional functional infrared imaging improve breast cancer detection based on digital mammography in women with dense breasts?

2019 ◽  
Vol 29 (11) ◽  
pp. 6227-6235 ◽  
Author(s):  
Roxanna J. Hellgren ◽  
Ann E. Sundbom ◽  
Kamila Czene ◽  
David Izhaky ◽  
Per Hall ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Digital Mammography ◽  
Infrared Imaging ◽  
Three Dimensional ◽  
Breast Cancer Detection ◽  
Dense Breasts

Feasibility of thermal infrared imaging screening for breast cancer in rural communities of Southern Mexico: The experience of the Centro de Estudios y Prevencion del Cancer (CEPREC)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 1521-1521
Author(s):  
F. Gutierrez-Delgado ◽  
J. Vazquez-Luna ◽  
L. Venegas-Hernandez ◽  
S. Terrazas-Espitia ◽  
S. Marcial-Toledo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Rural Communities ◽  
Early Detection ◽  
Health Care Professionals ◽  
Screening Tool ◽  
Infrared Imaging ◽  
Thermal Infrared ◽  
Southern Mexico ◽  
Thermal Infrared Imaging ◽  
Breast Thermography

1521 Background: Breast cancer is the second cause of death from cancer among Mexican women but the incidence continues to rise mainly in rural communities. However, among women older than 50 years, only 7% of them report having had a mammogram because of insufficient number of mammography equipment and trained health care professionals. Mammography has limitation in sensitivity and specificity greater than 70 % and greater than 80 %, respectively. Breast thermography is a noncontact, noninvasive technique and easy to use outside hospitals. We propose to evaluate the feasibility of thermal infrared imaging as screening tool for early detection of breast cancer. Methods: Between November 2006 and December 2008, women were offered clinical breast examination (CBE) followed by breast thermography and mammography, and biopsy if indicated. Thermal infrared imaging was obtained by using an infrared camera (DL-700; 320*240 UFPA, Zhejiang Dali Technology Co., Ltd.). Infrared imaging was performed in a controlled environment with temperature and humidity maintained between 18 ºC and 23 ºC. Breast thermography diagnosis was established according to Hobbins criteria where TH1 to TH5 are equivalent to BI-RADS I to V (Intermer J of Rad 1987;12:337). CBE and breast thermography were correlated with mammography and histologic diagnosis. Results: Nine hundred and eleven (100%) women (median age 44 years, range 15–83) were evaluated. Five hundred and three (55%) of them were older than 40 years, 137 (15%) were between 35 and 39 years. Cancer was diagnosed in 14 (3%) and 2 (1.4%) women, respectively. Overall cancer was diagnosed in 16 (2.5 %) out of 640 women older 35 years. Among 116 (13%) women between 30 and 34 years, cancer was found in 1 (0.8 %) patient. Cancer was not found among 155 (17%) women between 15 and 29 years. Conclusions: In this study cancer was diagnosed in 1.8 % of women by using breast thermography. Thermal infrared imaging allows to select patients who could require further work-up. Breast thermography emerges as a potential screening tool for early detection of breast cancer. No significant financial relationships to disclose.

The Evolution of New Trends in Breast Thermography

2021 ◽  
pp. 128-171
Author(s):  
Marcus Costa de Araújo ◽  
Luciete Alves Bezerra ◽  
Kamila Fernanda Ferreira da Cunha Queiroz ◽  
Nadja A. Espíndola ◽  
Ladjane Coelho dos Santos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Infrared Radiation ◽  
Infrared Imaging ◽  
Imaging Technique ◽  
Medical Applications ◽  
Breast Thermography ◽  
Radiation Theory ◽  
Theoretical Foundations

In this chapter, the theoretical foundations of infrared radiation theory and the principles of the infrared imaging technique are presented. The use of infrared (IR) images has increased recently, especially due to the refinement and portability of thermographic cameras. As a result, this type of camera can be used for various medical applications. In this context, the use of IR images is proposed as an auxiliary tool for detecting disease and monitoring, especially for the early detection of breast cancer.

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