Semi-automatic registration of retinal images based on line matching approach

Fabio Bellavia, Cesare Fabio Valenti, Domenico Tegolo, Fabio Bellavia, Carmen Alina Lupascu

Risultato della ricerca: Conference contribution

11 Citazioni (Scopus)

Abstract

Accurate retinal image registration is essential to track the evolution of eye-related diseases. We propose a semiautomatic method based on features relying upon retinal graphs for temporal registration of retinal images. The features represent straight lines connecting vascular landmarks on the retina vascular tree: bifurcations, branchings, crossings, end points. In the built retinal graph, one straight line between two vascular landmarks indicates that they are connected by a vascular segment in the original retinal image. The locations of the landmarks are manually extracted to avoid the information loss due to errors in a retinal vessels segmentation algorithms. A straight line model is designed to compute a similarity measure to quantify the line matching between images. From the set of matching lines, corresponding points are extracted and a global transformation is computed. The performance of the registration method is evaluated in the absence of ground truth using the cumulative inverse consistency error (CICE).
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems
Pagine453-456
Numero di pagine4
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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