Renormalization method for inhomogeneity correction of MR images

Author(s):  
Dongqing Chen ◽  
Lihong Li ◽  
Daeki Yoon ◽  
J. H. Lee ◽  
Zhengrong Liang
MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 79-90 ◽  
Author(s):  
László Lefkovits ◽  
Szidónia Lefkovits ◽  
Mircea-Florin Vaida

AbstractIn automated image processing the intensity inhomogeneity of MR images causes significant errors. In this work we analyze three algorithms with the purpose of intensity inhomogeneity correction. The well-known N3 algorithm is compared to two more recent approaches: a modified level set method, which is able to deal with intensity inhomogeneity and it is, as well, compared to an adaptation of the fuzzy c-means clustering with intensity inhomogeneity compensation techniques. We evaluate the outcomes of these three algorithms with quantitative performance measures. The measurements are done on the bias fields and on the segmented images. We consider normal brain images obtained from the Montreal Simulated Brain Database.


2008 ◽  
Author(s):  
Lihong Li ◽  
Zhengrong Liang ◽  
Su Wang ◽  
Hongyu Lu ◽  
Xinzhou Wei ◽  
...  

2016 ◽  
Vol 48 ◽  
pp. 9-20 ◽  
Author(s):  
Tatyana Ivanovska ◽  
René Laqua ◽  
Lei Wang ◽  
Andrea Schenk ◽  
Jeong Hee Yoon ◽  
...  

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