Title :
Nonlinear filtering for enhancing prostate MR images via alpha-trimmed Mean Separation
Author :
Zhou, Yicong ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
Abstract :
This paper introduces a new enhancement algorithm for prostate MR images using a new nonlinear filtering operation and an alpha-trimmed Mean Separation. A new enhancement measure is also introduced to measure and assess the enhanced results. Experimental results show that the presented algorithm can significantly improve the contrast of prostate MR images. It has a potential application in prostate cancer detection.
Keywords :
biomedical MRI; cancer; image enhancement; medical image processing; nonlinear filters; alpha-trimmed mean separation; nonlinear filtering operation; prostate MR image enhancement; prostate cancer detection; Biomedical imaging; Optimization; USA Councils; Visualization; MR image enhancement; alpha-trimmed mean; nonlinear filtering; prostate cancer detection;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5641856