Title :
Breast cancer identification through shape analysis in thermal texture maps
Author :
Qi, Hairong ; Liu, Zhongqi ; Wang, Chen
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Abstract :
Proposes an automated approach to the study of metabolic activities within a human body using thermal infrared (TIR) imaging. It uses early detection of breast cancer as an example to show the effectiveness of the approach. Different shape analysis parameters are employed in the development. Some preliminary results show the effectiveness of using shape analysis to automate the detection of half power point and thus the depth of the heat source.
Keywords :
biological organs; biomedical optical imaging; biothermics; cancer; image segmentation; image texture; infrared imaging; mammography; medical image processing; automated approach; breast cancer identification; early detection; half power point; heat source depth; human body; metabolic activities; shape analysis; thermal infrared imaging; thermal texture maps; Biomedical imaging; Blood vessels; Breast cancer; Cancer detection; Humans; Infrared imaging; Optical imaging; Resistance heating; Shape; Temperature;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106310
