DocumentCode :
3179963
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
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
3698
Lastpage :
3701
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641856
Filename :
5641856
Link To Document :
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