Efficacy of fractal analysis in identifying glaucomatous damage

P. Y. Kim, K. M. Iftekharuddin, P. Gunvant, M. Tóth, G. Holló, E. A. Essock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this work, we propose a novel fractal-based technique to analyze pseudo 2D representation of 1D retinal nerve fiber layer (RNFL) thickness measurement data vector set for early detection of glaucoma. In our proposed technique, we first convert the 1D RNFL data vector sets into pseudo 2D images and then exploit 2D fractal analysis (FA) technique to obtain the representative features. These 2D fractal-based features are further processed using principal component analysis (PCA) and the final classification between normal and glaucomatous eyes is obtained using Fischer's linear discriminant analysis (LDA). An independent dataset is used for training and testing the classifier. The technique is used on randomly selected GDx variable corneal compensator (VCC) eye data from 227 study participants (116 patients with glaucoma and 111 patients with healthy eyes). We compute sensitivity, specificity and area under receiver operating curve (AUROC) for statistical performance comparison with other known techniques. Our classification performance shows that fractal-based technique is superior to the standard machine classifier Nerve Fiber Indicator (NFI).

Original languageEnglish
Title of host publicationMedical Imaging 2010
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
DOIs
Publication statusPublished - Dec 1 2010
EventMedical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 17 2010Feb 18 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7627
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego, CA
Period2/17/102/18/10

Keywords

  • AUROC
  • Fractal analysis
  • glaucoma feature extraction
  • polarimetry data

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Kim, P. Y., Iftekharuddin, K. M., Gunvant, P., Tóth, M., Holló, G., & Essock, E. A. (2010). Efficacy of fractal analysis in identifying glaucomatous damage. In Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment [76271G] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7627). https://doi.org/10.1117/12.848428