Automatic segmentation of thermal images to support breast cancer diagnosis
AbstractA proposal for segmenting thermographic images that can be used as a pre-processing step in the asymmetric analysis of breast cancer. This proposed segmentation of detecting areas of high temperature gradients, from which geometric regions of interest [Region of Interest, ROI] are defined. Hot spots selected as a reference at the start of the identification of the ROI corresponded to those presented under each breast, then, using a contour following on both sides of the body, it was sought to define the coordinates of the vertices that shaped the region of interest. The results show an average success of 67.5% in the segmentation of the breast region from 40 thermograms, which were captured in patients with raised arms or hands on hips while capturing images at a distance of 1 m camera.
Danaei G et al. (2005). Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet, 366, 1784–93.
Ferlay. J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, DM., Forman, D., Bray, F. (2013). Cancer incidence and mortality worldwide [IARC Cancer base, No. 11]. Lyon, France: IARC
Hairong Qi, & Head, JF. (2001). Asymmetry analysis using automatic segmentation and classification for breast cancer detection in thermograms, in Proceedings of the 23rd Annual International Conference of the IEEE [Vol.3]. doi: 10.1109/IEMBS.2001.1017386. (pp. 2866-2869). Piscataway, NJ: IEEE
Hairong Qi., Snyder, WE., Head, JF, Elliott, RL. (2000). Detecting breast cancer from infrared images by asymmetry analysis. In Proceedings of the 22nd Annual EMBS International Conference, Chicago IL, 2000 (pp. 1227-1228). Piscataway, NJ: IEEE.
Head, J., Wang, F., Lipari, C., & Elliot, R. (2000). The important role of infrared imaging in breast cancer. IEEE Engineering in Medicine & Biology Society Journal, 19(3), 52-57
Herry, C. & Frize, M. (2004). Quantitative assessment of pain-related thermal dysfunction through clinical digital infrared thermal imaging. BioMedical Engineering Online, 3(19), doi:10.1186/1475-925X-3-19
IARC (2002). Breast cancer screening, IARC handbooks for cancer prevention, volume 7, Lyon, International Agency for Research on Cancer, IARC
Kapoor, P, Prasad, S., Patni, S. (2012). Image segmentation and asymmetry analysis of breast thermograms for tumor detection. International Journal of Computer Applications, 50 (9), 40-45
Kapoor, P. & Prasad. S. (2010). Image processing for early diagnosis of breast cancer using infrared images. Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on [Volume:3], (pp.564-566). Piscataway, NJ: IEEE
Lipari, C., Head, J., Wang, F., and Elliot, R. (1997). Image analysis of digitized infrared images of the breasts from a first generation infrared imaging system. In Engineering in Medicine and Biology Society, 1997. In Proceedings of the 19th Annual International Conference of the IEEE, (pp. 681–684). Piscataway, NJ: IEEE
Mencattini, A., Salmeri, M., & Casti, P. (2011). Bilateral asymmetry identification for the early detection of breast cancer. In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA 2011) Proceedings (pp.613-618). Piscataway, NJ: IEEE
Moghbel, M., Mahmud, HR., Mashohor, S., Iqbal-Bin-Saripan, M. (2012). Random walkers based segmentation method for breast thermography. Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on (pp.627-630). Piscataway, NJ: IEEE
Scales, N., Herry, C., & Frize, M. (2004). Automated image segmentation for breast analysis using infrared images. IEEE Engineering in Medicine & Biology Society Journal, 3, 1737-1740
Thermology (2014). Teletherm TIGER-4 Infrared Thermal Imagers [online]. Retrieved from www.thermology.com/teletherm_infrared_cameras/
This journal is licensed under the terms of the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).