Paper Information

Title: 

AUTOMATIC SEGMENTATION OF BRAIN TISSUES FROM MR IMAGES WITH WAVELET EXTENDED EM ALGORITHM

Type: PAPER
Author(s): ZEYDABADI MAHMOOD,A.ZOROOFI REZA,SOLTANIAN ZADEH HAMID
 
 
 
Name of Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Type of Seminar:  CONFERENCE
Sponsor:  ANJOMANE MOHANDESI PEZESHKI IRAN
Date:  2004Volume 11
 
 
Abstract: 

AUTOMATIC SEGMENTATION OF BRAIN TISSUES IS CRUCIAL TO MANY MEDICAL IMAGING APPLICATIONS. ACCURATE AND FAST BRAIN TISSUE SEGMENTATION IS NEEDED FOR MANY MEDICAL DIAGNOSTIC AND THERAPEUTIC PROCEDURES. WE USE A MULTI-RESOLUTION ANALYSIS AND A POWER TRANSFORM TO EXTEND THE WELL-KNOWN GAUSSIAN MIXTURE MODEL EXPECTATION MAXIMIZATION BASED ALGORITHM FOR SEGMENTATION OF WHITE MATTER, GRAY MATTER, AND CEREBROSPINAL FLUID FROM T1-WEIGHTED MAGNETIC RESONANCE IMAGES (MRI) OF THE BRAIN. EXPERIMENTAL RESULTS WITH NEAR 4000 SYNTHETIC AND REAL IMAGES ARE INCLUDED. THE RESULTS ILLUSTRATE THAT THE PROPOSED METHOD OUTPERFORMS SIX EXISTING METHODS.

 
Keyword(s): MAGNETIC RESONANCE IMAGES, EXPECTATION MAXIMIZATION ALGORITHM, WAVELET TRANSFORM
 
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