Title :
Dynamic segmentation of breast tissue in digitized mammograms
Author :
Neyhart, J.T. ; Ciocco, M.D. ; Polikar, R. ; Mandayam, S. ; Tseng, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA
Abstract :
The percentage of radiodense tissue in a mammogram has been used as a marker for determining breast cancer risk. In this paper, we present an image segmentation technique for identifying tissue and non-tissue regions of a digitized X-ray image. This procedure constitutes a vital step prior to subsequent processing for estimating the amount of radiodense tissue. The process involves the generation of a segmentation mask developed by using discrete wavelet transform techniques. Initial results have been promising, demonstrating the feasibility of the approach.
Keywords :
biological tissues; cancer; discrete wavelet transforms; image segmentation; mammography; medical image processing; digitized X-ray image; discrete wavelet transform techniques; medical diagnostic imaging; nontissue regions; radiodense tissue amount estimation; segmentation mask generation; tissue regions; Breast cancer; Breast tissue; Cancer detection; Diagnostic radiography; Discrete wavelet transforms; Image converters; Image processing; Image segmentation; Mammography; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1017332