Improving vessel segmentation in ultra-wide field-of-view retinal fluorescein angiograms. / Perez-Rovira, A.; Zutis, K.; Hubschman, J. P.; Trucco, E.
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). NEW YORK : IEEE Computer Society, 2011. p. 2614-2617.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - CHAP
T1 - Improving vessel segmentation in ultra-wide field-of-view retinal fluorescein angiograms
A1 - Perez-Rovira,A.
A1 - Zutis,K.
A1 - Hubschman,J. P.
A1 - Trucco,E.
AU - Perez-Rovira,A.
AU - Zutis,K.
AU - Hubschman,J. P.
AU - Trucco,E.
PB - IEEE Computer Society
CY - NEW YORK
PY - 2011
Y1 - 2011
N2 - <p>Vessel segmentation on ultra-wide field-of-view fluorescein angiogram sequences of the retina is a challenging problem. Vessel appearance undergoes severe changes, as different portions of the vascular structure become perfused in different frames. This paper presents a method for segmenting vessels in such sequences using steerable filters and automatic thresholding. We introduce a penalization stage on regions with high vessel response in the filtered image, improving the detection of peripheral vessels and reducing false positives around the optic disc and in regions of choroidal vessels and lesions. Quantitative results are provided, in which the penalization stage improves the segmentation precision segmentation by 11.84%, the recall by 12.98% and the accuracy by 0.40%. To facilitate further evaluation, usage, and algorithm comparison, the algorithm, the data set used, the ground truth, and the results are made available on the internet.</p>
AB - <p>Vessel segmentation on ultra-wide field-of-view fluorescein angiogram sequences of the retina is a challenging problem. Vessel appearance undergoes severe changes, as different portions of the vascular structure become perfused in different frames. This paper presents a method for segmenting vessels in such sequences using steerable filters and automatic thresholding. We introduce a penalization stage on regions with high vessel response in the filtered image, improving the detection of peripheral vessels and reducing false positives around the optic disc and in regions of choroidal vessels and lesions. Quantitative results are provided, in which the penalization stage improves the segmentation precision segmentation by 11.84%, the recall by 12.98% and the accuracy by 0.40%. To facilitate further evaluation, usage, and algorithm comparison, the algorithm, the data set used, the ground truth, and the results are made available on the internet.</p>
KW - BLOOD-VESSELS
UR - http://www.computing.dundee.ac.uk/projects/vision/papers/Perez-RoviraEMBC11.pdf
M1 - Conference contribution
SN - 978-1-4244-4122-8
BT - 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
T2 - 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
SP - 2614
EP - 2617
ER -