Title :
Processing thermal images to detect breast cancer and assess pain
Author :
Frize, Monique ; Herry, Hristophe ; Scales, Nathan
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
Abstract :
Thermography began to be used to detect breast cancer in the 1960s and assess pain in the 1980s. The images were interpreted through the naked eye and subtle differences were difficult to identify. More recently, widespread use of PCs led to computer processing for the analysis of thermal images. Thermal imaging records the skin temperature distribution of the body and thus can provide insight in thermal dysfunction associated with breast cancer or with pain. Several digital processing steps to analyze thermal images of breast and pain patients are described. Results from the analysis of breasts were validated by comparing with actual clinical outcomes. The research with pain focused on identifying the thermal patterns for normal subjects and is now in the process of identifying physiological disorders that correspond to abnormal thermal patterns. Future work will focus on improving the performance of the techniques that identify temperature differences in patients with breast cancer or with various symptoms of pain.
Keywords :
cancer; infrared imaging; mammography; medical image processing; skin; temperature distribution; abnormal thermal patterns; breast cancer; breast patients; clinical outcomes; computer processing; digital processing steps; naked eye; normal subjects; pain patients; performance; physiological disorders; skin temperature; thermal dysfunction; thermal images; thermal imaging; thermal patterns; thermography; Breast cancer; Cancer detection; Humans; Image analysis; Infrared detectors; Infrared imaging; Pain; Personal communication networks; Skin; Temperature distribution;
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
DOI :
10.1109/ITAB.2003.1222520