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).
|Titolo della pubblicazione ospite||Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems|
|Numero di pagine||4|
|Stato di pubblicazione||Published - 2013|
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
- Computer Science Applications