Abstract:

Microcalcification on x-ray mammogram is a significant mark for early detection of breast cancer. In this paper, Genetic Algorithm (GA) is proposed to automatically detect the suspicious regions on digital mammograms based on asymmetries between left and right breast image. The basic idea of the asymmetry approach is corresponding left and right images are subtracted to extract the suspicious region. One of the major problem in this approach is due to the recording procedure the size and shape of the corresponding mammograms do not match. The proposed system consists of two steps: First, the mammogram images are enhanced using median filter, pectoral muscle region is removed and the border of the mammogram is detected for both left and right images from the binary image. Further GA is applied to enhance the detected border. The figure
of merit is calculated to evaluate whether the detected border is exact or not. And the nipple position is identified using GA and second derivative method hybrid with GA. The performance is compared with the existing methods. Second, using the border points and nipple position as the reference the mammogram images are aligned and subtracted to extract the suspicious region. The algorithms are tested on 322 digitized mammograms from MIAS database..

Keywords: Mammogram, Markov Random Field, Ant Colony Optimization, Genetic Algorithm, Backpropagation Neural Network.

Biographies:

	THANGAVEL KUTTIANNAN, received the Master of Science from Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He got his Ph. D. Degree from Mathematics department, Gandhigram Rural Institute-Deemed University in 1999. Currently he is working as Reader in Mathematics Department, Gandhigram Rural Institute-Deemed University, and his experience started from 1988; His area of interests includes medical image processing, artificial intelligence, neural network, and fuzzy logic.
	KARNAN MARCUS, received the Master of Computer Science and Engineering Degree from Computer Science and Engineering Department, from Government College of Engineering, Manonmaniam Sundaranar University, Tamil Nadu, India, in 2000. Currently he is working as Assistant Professor, Department of Computer Science & Engineering Department, RVS College of Engineering & Technology, Tamil Nadu, India. And doing part-time research in the Department of computer Science and Applications, Gandhigram Rural Institute-Deemed University, Tamil Nadu, India. His area of interests includes medical image processing, artificial intelligence, neural network, genetic algorithm, pattern recognition and fuzzy logic.
	* The following author designated as corresponding author: Karnan Marcus, E-mail id: karnanme@yahoo.com, rsk_siva@mailcity.com, ktvel@rediffmail.com Postal Address: 153, Palayam, Palani, Dindigul Dt, Tamil Nadu, India – 624601. Fax.No:91-4551-227229,91-4551-227230, Telephone.No:91-4551-227229,91-4551-2272.

BibTex:

@ARTICLE{P1120542001,

  AUTHOR = {K.Thangavel and M.Karnan1},

TITLE = {Automatic Detection of Asymmetries in MammogramsUsing Genetic Algorithm},

}

( Full Paper, 546 KB)