A fast global variational bias field correction method for MR images

2013 ◽  
Author(s):  
Tatyana Ivanovska ◽  
Lei Wang ◽  
Rene Laqua ◽  
Katrin Hegenscheid ◽  
Henry Volzke ◽  
...  
Keyword(s):  
Bias Field ◽  
Correction Method ◽  
Mr Images ◽  
Bias Field Correction

scholarly journals A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI

2010 ◽  
Vol 38 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Muqing Lin ◽  
Siwa Chan ◽  
Jeon-Hor Chen ◽  
Daniel Chang ◽  
Ke Nie ◽  
...  
Keyword(s):  
Breast Density ◽  
Bias Field ◽  
Correction Method ◽  
Bias Field Correction

ADAPTIVE SEGMENTATION OF MEDICAL MR IMAGES BASED ON BIAS CORRECTION

2011 ◽  
Vol 11 (04) ◽  
pp. 813-826
Author(s):  
ZENGLIANG FU ◽  
YONGLIN SU ◽  
MING YE ◽  
YANPING LIN ◽  
CHENGTAO WANG
Keyword(s):  
Bias Correction ◽  
Bias Field ◽  
Correction Method ◽  
Initial Contour ◽  
Adaptive Segmentation ◽  
Mr Images ◽  
Object Boundary ◽  
Correct Position ◽  
Two Phase ◽  
Segmentation Accuracy

A two-phase model is introduced to extract clinically useful information from medical MR images. In the preprocessing phase, a refined bias correction method is adopted to reduce the influence of intensity inhomogeneity by removing the bias field, which paves the way for improving the subsequent segmentation accuracy. During image segmentation process, a novel adaptive level set technique is designed to capture the boundary of desired region. By virtue of adaptive driving term, the external force automatically changes its propagating direction when evolving curve goes through object boundary, which effectively prevents the final results deviating from correct position. Moreover, insensitivity to initial contour also enables its automatic applications. Experiments on synthetic and real MR images demonstrate the feasibility and robustness of the proposed method.

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