Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms

E. Trueco; C. R. Buchanan; T. Aslam; B. Dhillon

doi:10.1109/IEMBS.2007.4353908

Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms

E. Trueco, C. R. Buchanan, T. Aslam, B. Dhillon

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations. © 2007 IEEE.

Original language	English
Title of host publication	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages	6739-6742
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2007.4353908
Publication status	Published - 2007
Event	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society - Lyon, France Duration: 23 Aug 2007 → 26 Aug 2007

Conference

Conference	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society
Abbreviated title	EMBC'07
Country/Territory	France
City	Lyon
Period	23/08/07 → 26/08/07

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IEMBS.2007.4353908

Cite this

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title = "Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms",

abstract = "We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations. {\textcopyright} 2007 IEEE.",

author = "E. Trueco and Buchanan, {C. R.} and T. Aslam and B. Dhillon",

year = "2007",

doi = "10.1109/IEMBS.2007.4353908",

language = "English",

isbn = "1424407885",

pages = "6739--6742",

booktitle = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07",

note = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society , EMBC'07 ; Conference date: 23-08-2007 Through 26-08-2007",

}

Trueco, E, Buchanan, CR, Aslam, T & Dhillon, B 2007, Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. in 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. pp. 6739-6742, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society , Lyon, France, 23/08/07. https://doi.org/10.1109/IEMBS.2007.4353908

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T1 - Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms

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AU - Buchanan, C. R.

AU - Aslam, T.

AU - Dhillon, B.

PY - 2007

Y1 - 2007

N2 - We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations. © 2007 IEEE.

AB - We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations. © 2007 IEEE.

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DO - 10.1109/IEMBS.2007.4353908

M3 - Conference contribution

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SN - 9781424407880

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EP - 6742

BT - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07

T2 - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society

Y2 - 23 August 2007 through 26 August 2007

ER -

Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms

Abstract

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