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Hotspot Detection in Infrared Breast Thermograms for Disease Identification

A.T. Wakankar*, S. Lalithakumari**, G.R.Suresh***

* Research Scholar, Sathyabama University, Chennai, India.

** Associate Professor, Department of Electronics and Instrumentation Engineering, Sathyabama University, Chennai, India.

*** Professor, Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India.

Periodicity:December - February'2017
DOI : https://doi.org/10.26634/jpr.3.4.13537

Abstract

For ages, human body temperature has been used as an indicator for judging the health status. Over the years, the science of Medical Thermography has evolved to measure body surface temperatures that help in making relevant judgments about diseases. Unusual temperature patterns or the values above permissible limits indicate abnormality. In most of the cases, such temperature differences indicate a high chance of inflammation, infection or malignancy. Localized increase in temperature is termed as Hot spot and is indicative of such abnormalities. This paper develops an algorithm to detect the highest temperature region in breast thermogram to predict the breast disease. Thermal image is captured using an infrared camera. The temperature data are processed to find the hotspot. The location and shape of the hotspot is detected. The thermograms are further segmented in left and right part manually. Statistical parameters are calculated from temperature data of segmented region. Significant differences in these parameters is observed for healthy and sick cases showing asymmetry. The presence of asymmetric hotspot suggests the further follow up. Results are validated by a radiologist confirming the performance of the algorithm.

Keywords

Breast Disease, Thermography, Thermal Analysis, Hotspot Detection, Asymmetry Analysis

How to Cite this Article?

Wakankar, A. T., Lalithakumari, S., and Suresh, G. R. (2017). Hotspot Detection in Infrared Breast Thermograms for Disease Identification.i-manager’s Journal on Pattern Recognition, 3(4), 1-7. https://doi.org/10.26634/jpr.3.4.13537

References

[1]. Kapoor, P., & Patni, S. (2012). Image segmentation and asymmetry analysis of breast thermograms for tumor detection. International Journal of Computer Applications, 50(9), 40-45.

[2]. Khandpur, R. S. (1992). Handbook of Biomedical Instrumentation. Tata McGraw-Hill Education.

[3]. Kuruganti, P. T., & Qi, H. (2002). Asymmetry analysis in breast cancer detection using thermal infrared images. In th Engineering in Medicine and Biology, 2002. 24 Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint (Vol. 2, pp. 1155-1156). IEEE.

[4]. Mejía, T. M., Pérez, M. G., Andaluz, V. H., & Conci, A. (2015, July). Automatic Segmentation and Analysis of Thermograms using Texture Descriptors for Breast Cancer Detection. In Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on (pp. 24-29). IEEE.

[5]. Ng, E. K. (2009). A review of thermography as promising non-invasive detection modality for breast tumor. International Journal of Thermal Sciences, 48(5), 849-859.

[6]. Ng, Y. K., Ung, L. N., Ng, F. C., & Sim, E. L. S. G. (2001). Statistical analysis of healthy and malignant breast thermography. Journal of Medical Engineering & Technology, 25(6), 253-263.

[7]. Tang, X., Ding, H., Yuan, Y. E., & Wang, Q. (2008). Morphological measurement of localized temperature increase amplitudes in breast infrared thermograms and its clinical application. Biomedical Signal Processing and Control, 3(4), 312-318.

[8]. Umadevi, V., Raghavan, S. V., & Jaipurkar, S. (2010, November). Interpreter for breast thermogram characterization. In Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on (pp. 150-154). IEEE.

[9]. Wakankar, A., Suresh, G. R., & Ghugare, A. (2014, January). Automatic Diagnosis of Breast Abnormality using Digital IR Camera. In Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference on (pp. 145-150). IEEE.

[10]. Zare, I., Ghafarpour, A., Zadeh, H. G., Haddadnia, J., & Isfahani, S. M. M. (2016). Evaluating the thermal imaging system in detecting certain types of breast tissue masses. Biomedical Research.

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