Paper Info
Title
MRI intensity inhomogeneity correction based on similar points
Abstract
Intensity inhomogeneity (IIH) in magnetic resonance imaging (MRI) adversely affects image processing and image analysis. In this paper, we propose a novel surface fitting approach for intensity nonuniformity correction in MR images. In our method, pattern matching used in non-local means (NLM) algorithm are used to find voxels with similar structures, and a smooth polynomial surface is fitted by a modified least squares method. This method has the advantage that it can choose appropriate points to easily fit the data. The proposed method has been tested on simulated MR images and real MR brain images, and compared with other popular methods. Both qualitative and quantitative evaluations proved the effectiveness of our proposed method.
Year
DOI
Venue
2017
10.1109/CISP-BMEI.2017.8301958
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Keywords
Field
DocType
inhomogeneity correction,magnetic resonance imaging (MRI),bias field correction,surface fitting,NLM
Least squares,Voxel,Computer vision,Histogram,Pattern recognition,Polynomial,Computer science,Surface fitting,Image processing,Artificial intelligence,Pattern matching,Magnetic resonance imaging
Conference
ISBN
Citations 
PageRank 
978-1-5386-1938-4
0
0.34
References 
Authors
11
5
Name
Order
Citations
PageRank
Xiance Zhao100.34
Hai-Bin Xie200.34
Wenjing Li314542.73
Guang Yang4173.33
Xu Yan553.55