Non-rigid Registration of Retinal OCT Images Using Conditional Correlation Ratio

In this work, we propose a novel similarity measure for non-rigid retinal optical coherence tomography image registration called conditional correlation ratio (CCR). CCR calculates the correlation ratio (CR) between the moving and fixed image intensities, given a certain spatial distribution. The pr...

Full description

Saved in:
Bibliographic Details
Published inFetal, Infant and Ophthalmic Medical Image Analysis Vol. 10554; pp. 159 - 167
Main Authors Du, Xueying, Gong, Lun, Shi, Fei, Chen, Xinjian, Yang, Xiaodong, Zheng, Jian
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Conditional correlation ratio
Non-rigid registration
Optical coherence tomography
Spatial information
Online AccessGet full text

Cover

More Information
Summary:In this work, we propose a novel similarity measure for non-rigid retinal optical coherence tomography image registration called conditional correlation ratio (CCR). CCR calculates the correlation ratio (CR) between the moving and fixed image intensities, given a certain spatial distribution. The proposed CCR-based registration is robust to noise and less sensitive to the number of samples used to estimation the density function. Compared to mutual information (MI) and CR, both the quantitative indicators using Hausdorff distance (HD) and M-Hausdorff distance (MHD) and the qualitative indicator using checkerboard images show that CCR is more suitable to align the retinal OCT images.
Bibliography:X. Du and L. Gong—contributed equally to this work. Both committed to the study and are co-first authors
ISBN:3319675605
9783319675602
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-67561-9_18