Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration
Joint Authors
Kashou, Nasser H.
Mahmoudzadeh, Amir Pasha
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-01
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Interpolation has become a default operation in image processing and medical imaging and is one of the important factors in the success of an intensity-based registration method.
Interpolation is needed if the fractional unit of motion is not matched and located on the high resolution (HR) grid.
The purpose of this work is to present a systematic evaluation of eight standard interpolation techniques (trilinear, nearest neighbor, cubic Lagrangian, quintic Lagrangian, hepatic Lagrangian, windowed Sinc, B-spline 3rd order, and B-spline 4th order) and to compare the effect of cost functions (least squares (LS), normalized mutual information (NMI), normalized cross correlation (NCC), and correlation ratio (CR)) for optimized automatic image registration (OAIR) on 3D spoiled gradient recalled (SPGR) magnetic resonance images (MRI) of the brain acquired using a 3T GE MR scanner.
Subsampling was performed in the axial, sagittal, and coronal directions to emulate three low resolution datasets.
Afterwards, the low resolution datasets were upsampled using different interpolation methods, and they were then compared to the high resolution data.
The mean squared error, peak signal to noise, joint entropy, and cost functions were computed for quantitative assessment of the method.
Magnetic resonance image scans and joint histogram were used for qualitative assessment of the method.
American Psychological Association (APA)
Mahmoudzadeh, Amir Pasha& Kashou, Nasser H.. 2013. Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-468799
Modern Language Association (MLA)
Mahmoudzadeh, Amir Pasha& Kashou, Nasser H.. Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-19.
https://search.emarefa.net/detail/BIM-468799
American Medical Association (AMA)
Mahmoudzadeh, Amir Pasha& Kashou, Nasser H.. Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-468799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468799