NDLI: Enhanced mutual information based medical image registration

Content Provider	IET Digital Library
Author	Pradhan, Smita Patra, Dipti
Abstract	Similarity measure plays a significant task in intensity-based image registration. Nowadays, mutual information (MI) has been used as an efficient similarity measure for multimodal image registration. MI reflects the quantitative aspects of the information as it considers the probabilities of the voxels. However, different voxels have distinct efficiency towards the gratification of the elementary target, which may be self-reliant of their probability of occurrence. Therefore, both intensity distributions and effectiveness are essential to characterise a voxel. In this study, a novel similarity measure has been proposed by integrating the effectiveness of each voxel along with the intensity distributions for computing the enhanced MI using joint histogram of the two images. Penalised spline interpolation is incorporated to the joint histogram of the similarity measure, where each grid point is penalised with a weighted factor to avoid the local extrema and to achieve better registration accuracy as compared with existing methods with efficient computational runtime. To demonstrate the proposed method, the authors have used a challenging medical image dataset consisting of pre- and post-operative brain magnetic resonance imaging. The registration accuracy for the dataset improves the clinical diagnosis, and detection of growth of tumour in post-operative image.
Starting Page	418
Ending Page	427
Page Count	10
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 5, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0346
Journal	IET Image Processing
Publisher Date	2016-05-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Brain Clinical Diagnosis Computer Vision And Image Processing Technique Elementary Target Gratification Enhanced Mutual Information Based Medical Image Registration Graph Theory Image Registration Intensity Distribution Intensity-based Image Registration Interpolation Interpolation And Function Approximation Joint Histogram Mathematics Medical Image Dataset Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy Multimodal Image Registration Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Penalised Spline Interpolation Post-operative Brain Magnetic Resonance Imaging Preoperative Brain Magnetic Resonance Imaging Set Theory Spectroscopy SpLine Tumour Growth Tumours Weighted Factor
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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