Universität zu Köln

Venhuizen, Freerk G., van Ginneken, Bram ORCID: 0000-0003-2028-8972, Liefers, Bart, van Asten, Freekje, Schreur, Vivian, Fauser, Sascha, Hoyng, Carel, Theelen, Thomas and Sanchez, Clara I. (2018). Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography. Biomed. Opt. Express, 9 (4). S. 1545 - 1570. WASHINGTON: OPTICAL SOC AMER. ISSN 2156-7085

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Abstract

We developed a deep learning algorithm for the automatic segmentation and quantification of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD- OCT) volumes independent of the device used for acquisition. A cascade of neural networks was introduced to include prior information on the retinal anatomy, boosting performance significantly. The proposed algorithm approached human performance reaching an overall Dice coefficient of 0.754 +/- 0.136 and an intraclass correlation coefficient of 0.936, for the task of IRC segmentation and quantification, respectively. The proposed method allows for fast quantitative IRC volume measurements that can be used to improve patient care, reduce costs, and allow fast and reliable analysis in large population studies. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Venhuizen, Freerk G. UNSPECIFIED UNSPECIFIED UNSPECIFIED van Ginneken, Bram UNSPECIFIED orcid.org/0000-0003-2028-8972 UNSPECIFIED Liefers, Bart UNSPECIFIED UNSPECIFIED UNSPECIFIED van Asten, Freekje UNSPECIFIED UNSPECIFIED UNSPECIFIED Schreur, Vivian UNSPECIFIED UNSPECIFIED UNSPECIFIED Fauser, Sascha UNSPECIFIED UNSPECIFIED UNSPECIFIED Hoyng, Carel UNSPECIFIED UNSPECIFIED UNSPECIFIED Theelen, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED Sanchez, Clara I. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-189835
DOI:	10.1364/BOE.9.001545
Journal or Publication Title:	Biomed. Opt. Express
Volume:	9
Number:	4
Page Range:	S. 1545 - 1570
Date:	2018
Publisher:	OPTICAL SOC AMER
Place of Publication:	WASHINGTON
ISSN:	2156-7085
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language GEOGRAPHIC ATROPHY SEGMENTATION; RETINAL LAYER; SUBRETINAL FLUID; AUTOMATIC SEGMENTATION; MACULAR DEGENERATION; OCT IMAGES; DRUSEN; RANIBIZUMAB; BOUNDARIES; EDEMA Multiple languages Biochemical Research Methods; Optics; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/18983