Literature DB >> 23115586

Retinal image registration and comparison for clinical decision support.

Di Xiao1, Janardhan Vignarajan, Jane Lock, Shaun Frost, Mei-Ling Tay-Kearney, Yogesan Kanagasingam.   

Abstract

BACKGROUND: For eye diseases, such as glaucoma and age-related macular degeneration (ARMD), involved in long-term degeneration procedure, longitudinal comparison of retinal images is a common step for reliable diagnosis of these kinds of diseases. AIMS: To provide a retinal image registration approach for longitudinal retinal image alignment and comparison.
METHOD: Two image registration solutions were proposed for facing different image qualities of retinal images to make the registration methods more robust and feasible in a clinical application system.
RESULTS: Thirty pairs of longitudinal retinal images were used for the registration test. The experiments showed both solutions provided good performance for the accurate image registrations with efficiency.
CONCLUSION: We proposed a set of retinal image registration solutions for longitudinal retinal image observation and comparison targeting a clinical application environment.

Entities:  

Keywords:  ARMD; Glaucoma; Retinal image registration; clinical decision support

Year:  2012        PMID: 23115586      PMCID: PMC3477780          DOI: 10.4066/AMJ.2012.1364.

Source DB:  PubMed          Journal:  Australas Med J        ISSN: 1836-1935


  13 in total

1.  Retinal image registration using geometrical features.

Authors:  Sara Gharabaghi; Sabalan Daneshvar; Mohammad Hossein Sedaaghi
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

2.  Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model.

Authors:  Sangyeol Lee; Joseph M Reinhardt; Philippe C Cattin; Michael D Abràmoff
Journal:  Med Image Anal       Date:  2010-04-28       Impact factor: 8.545

3.  Salient feature region: a new method for retinal image registration.

Authors:  Jian Zheng; Jie Tian; Kexin Deng; Xiaoqian Dai; Xing Zhang; Min Xu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2010-12-06

4.  A partial intensity invariant feature descriptor for multimodal retinal image registration.

Authors:  Jian Chen; Jie Tian; Noah Lee; Jian Zheng; R Theodore Smith; Andrew F Laine
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-18       Impact factor: 4.538

5.  Mutual information-based registration of temporal and stereo retinal images using constrained optimization.

Authors:  Yang-Ming Zhu
Journal:  Comput Methods Programs Biomed       Date:  2007-04-16       Impact factor: 5.428

6.  Detection of blood vessels in retinal images using two-dimensional matched filters.

Authors:  S Chaudhuri; S Chatterjee; N Katz; M Nelson; M Goldbaum
Journal:  IEEE Trans Med Imaging       Date:  1989       Impact factor: 10.048

7.  A novel registration method for retinal images based on local features.

Authors:  Jian Chen; R Smith; Jie Tian; Andrew F Laine
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

8.  Real-time multimodal retinal image registration for a computer-assisted laser photocoagulation system.

Authors:  A Martina Broehan; Tobias Rudolph; Christoph A Amstutz; Jens H Kowal
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-16       Impact factor: 4.538

9.  Registration of OCT fundus images with color fundus photographs based on blood vessel ridges.

Authors:  Ying Li; Giovanni Gregori; Robert W Knighton; Brandon J Lujan; Philip J Rosenfeld
Journal:  Opt Express       Date:  2011-01-03       Impact factor: 3.894

10.  Registration and fusion of the autofluorescent and infrared retinal images.

Authors:  Radim Kolar; Libor Kubecka; Jiri Jan
Journal:  Int J Biomed Imaging       Date:  2008-10-21
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  4 in total

1.  A Two-Step Approach for Longitudinal Registration of Retinal Images.

Authors:  Sajib Kumar Saha; Di Xiao; Shaun Frost; Yogesan Kanagasingam
Journal:  J Med Syst       Date:  2016-10-27       Impact factor: 4.460

2.  A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs.

Authors:  Sajib Kumar Saha; Di Xiao; Yogesan Kanagasingam
Journal:  J Digit Imaging       Date:  2018-08       Impact factor: 4.056

Review 3.  Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps.

Authors:  Isabel de la Torre-Díez; Borja Martínez-Pérez; Miguel López-Coronado; Javier Rodríguez Díaz; Miguel Maldonado López
Journal:  J Med Syst       Date:  2014-12-04       Impact factor: 4.460

4.  Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images.

Authors:  Sajib K Saha; Di Xiao; Shaun Frost; Yogesan Kanagasingam
Journal:  J Med Syst       Date:  2018-02-17       Impact factor: 4.460

  4 in total

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