Multimodal Retinal Image Registration and Fusion Based on Sparse Regularization via a Generalized Minimax-concave Penalty

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

We introduce a novel framework for the fusion of retinal OCT and confocal images of mice with uveitis. Input images are semi-automatically registered and then fused to provide more informative retinal images for analysis by ophthalmologists and clinicians. The proposed feature-based registration approach extracts vessels through the use of the ISO-DATA algorithm and morphological operations, in order to match confocal images with OCT images. Image fusion is formulated as an inverse problem, with the corresponding cost function containing two data attachment terms and a non-convex penalty function (the Generalized Minimax-Concave function) that maintains the overall convexity of the problem. The minimization of the cost function is thus tackled by convex optimization. Objective assessment results on image fusion show that this novel image fusion method has competitive performance when compared to existing image fusion methods. Some features of retina that cannot be observed directly in the original images are shown to be enhanced in the fused representations.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1010-1014
Number of pages5
ISBN (Electronic)9781479981311
DOIs
Publication statusPublished - 17 Apr 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May
ISSN (Print)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Keywords

  • GMC
  • image fusion
  • multimodal image registration
  • non-convex penalty
  • Retinal image analysis

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