title: Segmentation of Breast Lesions in Ultrasound Images through Multiresolution Analysis Using Undecimated Discrete Wavelet Transform.
abstract: Earliest detection and diagnosis of breast cancer reduces mortality rate of patients by increasing the treatment options. A novel method for the segmentation of breast ultrasound images is proposed in this work. The proposed method utilizes undecimated discrete wavelet transform to perform multiresolution analysis of the input ultrasound image. As the resolution level increases, although the effect of noise reduces, the details of the image also dilute. The appropriate resolution level, which contains essential details of the tumor, is automatically selected through mean structural similarity. The feature vector for each pixel is constructed by sampling intra-resolution and inter-resolution data of the image. The dimensionality of feature vectors is reduced by using principal components analysis. The reduced set of feature vectors is segmented into two disjoint clusters using spatial regularized fuzzy c-means algorithm. The proposed algorithm is evaluated by using four validation metrics on a breast ultrasound database of 150 images including 90 benign and 60 malignant cases. The algorithm produced significantly better segmentation results (Dicecoef= 0.8595, boundary displacement error = 9.796, dvi= 1.744, and global consistency error = 0.1835) than the other three state of the art methods.
authors.affiliation: Research and Development Centre, Bharathiar University, Coimbatore, India Department of Electronics & Communication, K.S.R. College of Arts & Science, Tiruchengode, India kmsankar@gmail.com.
authors.forename: K M
authors.initials: KM
authors.lastname: Prabusankarlal
authors.affiliation: Department of Electronics & Communication, Government Arts College, Dharmapuri, India.
authors.forename: P
authors.initials: P
authors.lastname: Thirumoorthy
authors.affiliation: Department of Computer Applications, K.S.R. College of Arts & Science, Tiruchengode, India.
authors.forename: R
authors.initials: R
authors.lastname: Manavalan
mesh_terms: D000465:Algorithms; D001940:Breast / Q000000981:diagnostic imaging; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D016217:Ultrasonography, Mammary / Q000379:methods*; D058067:Wavelet Analysis
keywords: CAD systems; breast ultrasound; clustering; segmentation; wavelet transform