The work here presented elaborates an analysis of the retinal images, with the aim of characterizing their morphological conformation through the recognition of remarkable parameters such as, among all, the number of vessels, terminal points and bifurcation. The correct identification of each single vessel belonging to the vascular distribution represents a point that has not yet been fully consolidated by the scientific community. The reason lies in the fact that the interpretation of enface images, in which the distribution of the vases is imprinted on a two-dimensional plane, makes it difficult to discern each single section of the vase by following its entire spatial development, due to the multiple overlaps with different pot portions. The aim of this research work is to ensure that the limits encountered in modern retinal image processing algorithms are overcome, through the use of an evaluative comparison of contiguous vessel portions on the basis of local dimensional and intensity similarity criteria. In this way, it is possible to trace the correct attribution of the spatial placement of each vessel, taking it into account in the relative classification in the entire vascular branch of clinical interest.
Diagnostic Enface Imaging of Retinal Vascularization: Topological Reconstruction and Intersection Identification / Fontana, Carlotta; D'Inverno, Giuseppe Alessio; Cappetti, Nicola. - 2:(2024), pp. 38-47. (Intervento presentato al convegno Proceedings of the Third International Conference on Design Tools and Methods in Industrial Engineering tenutosi a Florence , Italy nel 06-08 September 2023) [10.1007/978-3-031-58094-9_5].
Diagnostic Enface Imaging of Retinal Vascularization: Topological Reconstruction and Intersection Identification
D'Inverno Giuseppe Alessio;
2024-01-01
Abstract
The work here presented elaborates an analysis of the retinal images, with the aim of characterizing their morphological conformation through the recognition of remarkable parameters such as, among all, the number of vessels, terminal points and bifurcation. The correct identification of each single vessel belonging to the vascular distribution represents a point that has not yet been fully consolidated by the scientific community. The reason lies in the fact that the interpretation of enface images, in which the distribution of the vases is imprinted on a two-dimensional plane, makes it difficult to discern each single section of the vase by following its entire spatial development, due to the multiple overlaps with different pot portions. The aim of this research work is to ensure that the limits encountered in modern retinal image processing algorithms are overcome, through the use of an evaluative comparison of contiguous vessel portions on the basis of local dimensional and intensity similarity criteria. In this way, it is possible to trace the correct attribution of the spatial placement of each vessel, taking it into account in the relative classification in the entire vascular branch of clinical interest.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
