Projects per year
This work is part of an ongoing project aimed to generate synthetic retinal fundus images. This paper concentrates on the generation of synthetic vascular networks with realistic shape and texture characteristics. An example-based method, the Active Shape Model, is used to synthesize reliable vessels’ shapes. An approach based on Kalman Filtering combined with an extension of the Multiresolution Hermite vascular cross-section model has been developed for the simulation of vessels’ textures. The proposed method is able to generate realistic synthetic vascular networks with morphological properties that guarantee the correct flow of the blood and the oxygenation of the retinal surface observed by fundus cameras. The validity of our synthetic retinal images is demonstrated by qualitative assessment and quantitative analysis.
|Journal||Procedia Computer Science|
|Publication status||Published - 25 Jul 2016|
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- 1 Finished
Discovery of retinal biomarkers for genetics with large cross-linked datasets - Univ of Dundee led project
1/01/12 → 31/12/14
Medical Image Understanding and Analysis (MIUA 2016)
Lucia Ballerini (Speaker)7 Jul 2016
Activity: Participating in or organising an event types › Participation in conference
The VAMPIRE project: what the eye tells you about your health
Lucia Ballerini (Speaker)31 May 2016
Activity: Participating in or organising an event types › Public Engagement – Public lecture/debate/seminar