TY - GEN
T1 - Local quality assessment for optical coherence tomography
AU - Barnum, Peter
AU - Chen, Mei
AU - Ishikawa, Hiroshi
AU - Wollstein, Gadi
AU - Schuman, Joel
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Optical Coherence Tomography (OCT) is a non-invasive tool for visualizing the retina. It is increasingly used to diagnose eye diseases such as glaucoma and diabetic maculopathy. However, diagnosis is only possible when the layers of the retina can be easily distinguished, which is when the images are evenly illuminated. Automated OCT quality assessment (i.e. signal strength) is only available for images as a whole. In this work, we present an automated method for local quality assessment. For training data, three OCT experts label the quality of each individual a-scan line in 270 OCT images. We extract features that are insensitive to pathology, and employ a hierarchy of support vector machines and histogram-based metrics. Our trained classifier is able to determine not only when signal strength is low, but also when it will affect doctors' diagnostic ability. Our results improve over the state of the art in OCT quality assessment.
AB - Optical Coherence Tomography (OCT) is a non-invasive tool for visualizing the retina. It is increasingly used to diagnose eye diseases such as glaucoma and diabetic maculopathy. However, diagnosis is only possible when the layers of the retina can be easily distinguished, which is when the images are evenly illuminated. Automated OCT quality assessment (i.e. signal strength) is only available for images as a whole. In this work, we present an automated method for local quality assessment. For training data, three OCT experts label the quality of each individual a-scan line in 270 OCT images. We extract features that are insensitive to pathology, and employ a hierarchy of support vector machines and histogram-based metrics. Our trained classifier is able to determine not only when signal strength is low, but also when it will affect doctors' diagnostic ability. Our results improve over the state of the art in OCT quality assessment.
KW - Image quality assessment
KW - Optical coherence tomography
UR - http://www.scopus.com/inward/record.url?scp=51049098126&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049098126&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541015
DO - 10.1109/ISBI.2008.4541015
M3 - Conference contribution
AN - SCOPUS:51049098126
SN - 9781424420032
T3 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
SP - 392
EP - 395
BT - 2008 5th IEEE International Symposium on Biomedical Imaging
T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Y2 - 14 May 2008 through 17 May 2008
ER -