DocumentCode :
1879372
Title :
Innovative 3-D adaptive filtering for MRI analysis
Author :
Shaikh, Javaria Manzoor ; Pergad, N.D.
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Faces based orientation adaptive filtering, an principle methodology for adaptive filtering, constitutes a flexible framework for MRI image enhancement. The technique features post-filtering steerability and allows use interaction and direct control over the high frequency Contents of the image. A new class of filters for local image faces structure analysis together with filter networks significantly lowers the complexity to meet the requirements of computation time for clinical use, while maintaining accuracy. In this paper the technique is applied to various slices of MRI images i.e. 3-Dimentional magnetic resonance imaging with adaptive filtering using comparative wavelets.
Keywords :
adaptive filters; biomedical MRI; filtering theory; image enhancement; medical image processing; wavelet transforms; 3-dimentional magnetic resonance imaging; MRI analysis; MRI image enhancement; MRI image slices; comparative wavelets; faces-based orientation adaptive filtering; filter networks; flexible framework; high frequency image contents; innovative 3D adaptive filtering; local image faces structure analysis; post-filtering steerability; principle methodology; 3-D Adaptive; Analysis; Comparative Wavelets; Slices of MRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering (NUiCONE), 2012 Nirma University International Conference on
Conference_Location :
Ahmedabad
Print_ISBN :
978-1-4673-1720-7
Type :
conf
DOI :
10.1109/NUICONE.2012.6493262
Filename :
6493262
Link To Document :
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