|Table of Contents|

A Pixel Classification Method in MRI Enhancement Based on Wavelet Coefficient(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年01期
Page:
41-
Research Field:
计算机科学
Publishing date:

Info

Title:
A Pixel Classification Method in MRI Enhancement Based on Wavelet Coefficient
Author(s):
Cheng Ke; Wang Zhengxia; Sun Wei
School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China
Keywords:
dyadic wavelet transforms; magnetic resonance imaging; image enhancement; multi-scale
PACS:
TP391
DOI:
-
Abstract:
Dyadic wavelet transforms have no demonstrable effect on MRI enhancement,because MRI has the disadvantage of its lower contrast and noise-signal ratio.After analyzing the effects of wavelet on signal noise and based on the characteristics of MRI,this paper analyzes the correlation of dyadic wavelet transform of wavelet coefficient in each scale and classes them to different types.Then a revised method of wavelet coefficient confidence is introduced,hence MRI pixels are classified to three types,including singal itself,noise and undefined pot.At last,after using different functions on enhance steps for the first two types of signals,a new piecewise function has been raised to deal with the undefined pot.Experiment shows that using this method can effectively classify pixels,reduce the noise and enhance the true signal pixel.

References:

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Last Update: 2014-03-30