@inproceedings{b2676be2c74840d7a0eb3654de5835af,
title = "A quantification framework for post-lesion neo-vascularization in retinal angiography",
abstract = "We describe an image processing framework designed to detect and quantify the genesis of microscopic choroidal blood vessels. We used fluorescein angiography to monitor the dynamic of neo-vascularization of the retina after inducing lesions with a calibrated laser pulse. The angiogenesis can be revealed by an increase in the overall fluorescence level and/or diffusion size of the lesion. The proposed framework allows measuring both features from mis-aligned angiograms acquired with different gains and contrasts. It consists in aligning all the images, homogeneizing their intensity characteristics and segmenting the lesions. In particular, we implemented a level set segmentation algorithm to delineate the diffusion area. We show that our framework allows detecting neo-vascularization when one of these features changes by less than 10\%.",
keywords = "Angiography, Detection, Level sets, Registration, Segmentation",
author = "Sylvain Takerkart and Romain Fenouil and J{\'e}rome Piovano and Alexandre Reynaud and Louis Hoffart and Fr{\'e}deric Chavane and Th{\'e}odore Papadopoulo and John Conrath and Masson, \{Guillaume S.\}",
year = "2008",
doi = "10.1109/ISBI.2008.4541282",
language = "English",
isbn = "9781424420032",
series = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI",
publisher = "IEEE Computer Society",
pages = "1457--1460",
booktitle = "2008 5th IEEE International Symposium on Biomedical Imaging",
address = "United States",
note = "5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008 ; Conference date: 14-05-2008 Through 17-05-2008",
}