naa a22 4500 510806953 CHVBK 20180411083422.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11548-012-0681-x doi (NATIONALLICENCE)springer-10.1007/s11548-012-0681-x Measures of angular spread and entropy for the detection of architectural distortion in prior mammograms [Elektronische Daten] [Shantanu Banik, Rangaraj Rangayyan, J. Desautels] Purpose: Architectural distortion is an important sign of early breast cancer. We present methods for computer-aided detection of architectural distortion in mammograms acquired prior to the diagnosis of breast cancer in the interval between scheduled screening sessions. Methods: Potential sites of architectural distortion were detected using node maps obtained through the application of a bank of Gabor filters and linear phase portrait modeling. A total of 4,224 regions of interest (ROIs) were automatically obtained from 106 prior mammograms of 56 interval-cancer cases, including 301 true-positive ROIs, and from 52 mammograms of 13 normal cases. Each ROI was represented by three types of entropy measures of angular histograms composed with the Gabor magnitude response, angle, coherence, orientation strength, and the angular spread of power in the Fourier spectrum, including Shannon's entropy, Tsallis entropy for nonextensive systems, and Rényi entropy for extensive systems. Results: Using the entropy measures with stepwise logistic regression and the leave-one-patient-out method for feature selection and cross-validation, an artificial neural network resulted in an area under the receiver operating characteristic curve of 0.75. Free-response receiver operating characteristics indicated a sensitivity of 0.80at 5.2 false positives (FPs) per patient. Conclusion: The proposed methods can detect architectural distortion in prior mammograms taken 15months (on the average) before clinical diagnosis of breast cancer, with a high sensitivity and a moderate number of FPs per patient. The results are promising and may be improved with additional features to characterize subtle abnormalities and larger databases including prior mammograms. CARS, 2012 Angular spread of power nationallicence Architectural distortion nationallicence Breast cancer nationallicence Coherence nationallicence Computer-aided diagnosis (CAD) nationallicence Entropy nationallicence Gabor filters nationallicence Orientation strength nationallicence Oriented texture nationallicence Phase portrait analysis nationallicence Prior mammograms nationallicence Rényi entropy nationallicence Shannon entropy nationallicence Texture analysis nationallicence Tsallis entropy nationallicence Banik Shantanu Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut Rangayyan Rangaraj Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut Desautels J. Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 121-134 1861-6410 8:1<121 2013 8 11548 https://doi.org/10.1007/s11548-012-0681-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0681-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Banik Shantanu Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut NATIONALLICENCE 700 1- Rangayyan Rangaraj Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut NATIONALLICENCE 700 1- Desautels J. Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 121-134 1861-6410 8:1<121 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer