Fractal dimension-bound spatio-temporal analysis of digital mammograms
1 Department of Computer Science and Applications, Gandhigram Rural Institute, Deemed University, Gandhigram, 624 302 Dindigul, Tamil Nadu, India
2 Consultant Radiologist, Basavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India
Received: 31 July 2015
Revised: 11 January 2016
Published online: 29 February 2016
A new Fractal Dimension-based diagnosis technique for the change detection and time-series analysis of masses in the temporal digital mammogram is presented in this paper. As the digital mammograms are confirmed as a reliable source for the prognosis of breast cancer, the demand for the development of precise computer aided detection techniques is constantly on the increase. This formed the basis for the development of this method using Fractal geometry, which is an efficient mathematical approach that deals with self-similar and irregular geometric objects called fractals. This work comprises of the detection of spatial masses using Fractal Hurst bound enhancement and segmentation of those temporal masses using Fractal Thresholding. The consultant radiologist's assessment of mass lesions forms the baseline for comparison and validation of the detected masses. Further, this research work performs temporal analysis of mass lesions, detected from the mammograms of the current and the respective prior view using the principle of Fractal Dimension. The precision of Fractal-dimension based temporal texture analysis of malignant masses of digital mammograms subsequently attributes to their characterization.
© EDP Sciences, Springer-Verlag, 2016