Adaptive robust filters in MRI

Fernando A. Barrios; Leopoldo Gonzalez-Santos; Rafael Favila; Rafael Rojas

doi:10.1117/12.467058

9 May 2002 Adaptive robust filters in MRI

Fernando A. Barrios, Leopoldo Gonzalez-Santos, Rafael Favila, Rafael Rojas

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467058
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

An adaptive noise filter that can be used in MRI for noise reduction is presented. The algorithm is mainly based on the robust estimator, mode. Using the mode as the gray scale value estimator it is possible to differentiate the structures of interest from the background noise. Noise reduction is one of the most common image correction procedures, used in the enhancement of digital images. Wildly used noise reduction filters for digital imaging are based on median estimation, median filters. Eery time noise reduction filters are applied to an image there is a general softening or blurring of it, in particular mean filters are characterized by a strong softening effect for the case of high amplitude noise levels, practically destroying all the fine features in the filtered image. This problem is significantly reduced when median filters are used. The adaptive mode filter proposed in this work have very good noise reduction effect without a strong softening effect and is comparable in CPU time to the median filters. This fine resolution is achieved because the filter changes the mode estimator according to the difference of the deviation of the mode calculated for each the neighborhood of pixels with the global deviation of the mode for each class in the image. We consider it robust, because it uses the mode of gray-scale intensity distribution of the pixels neighborhood and its mode deviation.

Citation Download Citation

Fernando A. Barrios, Leopoldo Gonzalez-Santos, Rafael Favila, and Rafael Rojas "Adaptive robust filters in MRI", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467058

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Digital filtering

Image filtering

Denoising

Magnetic resonance imaging

Digital imaging

Image enhancement

Image processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years