Literature DB >> 16860587

Towards quantitative analysis of retinal features in optical coherence tomography.

Maurizio Baroni1, Pina Fortunato, Agostino La Torre.   

Abstract

The purpose of this paper was to propose a new computer method for quantitative evaluation of representative features of the retina using optical coherence tomography (OCT). A multi-step approach was devised and positively tested for segmentation of the three main retinal layers: the vitreo-retinal interface and the inner and outer retina. Following a preprocessing step, three regions of interest were delimited. Significant peaks corresponding to high and low intensity strips were located along the OCT A-scan lines and accurate boundaries between different layers were obtained by maximizing an edge likelihood function. For a quantitative description, thickness measurement, densitometry, texture and curvature analyses were performed. As a first application, the effect of intravitreal injection of triamcinolone acetonide (IVTA) for the treatment of vitreo-retinal interface syndrome was evaluated. Almost all the parameters, measured on a set of 16 pathologic OCT images, were statistically different before and after IVTA injection (p<0.05). Shape analysis of the internal limiting membrane confirmed the reduction of the pathological traction state. Other significant parameters, such as reflectivity and texture contrast, exhibited relevant changes both at the vitreo-retinal interface and in the inner retinal layers. Texture parameters in the inner and outer retinal layers significantly correlated with the visual acuity restoration. According to these findings an IVTA injection might be considered a possible alternative to surgery for selected patients. In conclusion, the proposed approach appeared to be a promising tool for the investigation of tissue changes produced by pathology and/or therapy.

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Year:  2006        PMID: 16860587     DOI: 10.1016/j.medengphy.2006.06.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  21 in total

1.  Improving image segmentation performance and quantitative analysis via a computer-aided grading methodology for optical coherence tomography retinal image analysis.

Authors:  Delia Cabrera Debuc; Harry M Salinas; Sudarshan Ranganathan; Erika Tátrai; Wei Gao; Meixiao Shen; Jianhua Wang; Gábor M Somfai; Carmen A Puliafito
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

Review 2.  State-of-the-art in retinal optical coherence tomography image analysis.

Authors:  Ahmadreza Baghaie; Zeyun Yu; Roshan M D'Souza
Journal:  Quant Imaging Med Surg       Date:  2015-08

Review 3.  Retinal imaging and image analysis.

Authors:  Michael D Abràmoff; Mona K Garvin; Milan Sonka
Journal:  IEEE Rev Biomed Eng       Date:  2010

4.  Automatic and robust segmentation of endoscopic OCT images and optical staining.

Authors:  Jianlin Zhang; Wu Yuan; Wenxuan Liang; Shanyong Yu; Yanmei Liang; Zhiyong Xu; Yuxing Wei; Xingde Li
Journal:  Biomed Opt Express       Date:  2017-04-26       Impact factor: 3.732

5.  Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map.

Authors:  Raheleh Kafieh; Hossein Rabbani; Michael D Abramoff; Milan Sonka
Journal:  Med Image Anal       Date:  2013-06-11       Impact factor: 8.545

6.  Automated layer segmentation of macular OCT images using dual-scale gradient information.

Authors:  Qi Yang; Charles A Reisman; Zhenguo Wang; Yasufumi Fukuma; Masanori Hangai; Nagahisa Yoshimura; Atsuo Tomidokoro; Makoto Araie; Ali S Raza; Donald C Hood; Kinpui Chan
Journal:  Opt Express       Date:  2010-09-27       Impact factor: 3.894

7.  Multimodal retinal vessel segmentation from spectral-domain optical coherence tomography and fundus photography.

Authors:  Zhihong Hu; Meindert Niemeijer; Michael D Abràmoff; Mona K Garvin
Journal:  IEEE Trans Med Imaging       Date:  2012-06-29       Impact factor: 10.048

8.  Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search.

Authors:  Mona K Garvin; Michael D Abramoff; Randy Kardon; Stephen R Russell; Xiaodong Wu; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2008-10       Impact factor: 10.048

9.  Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.

Authors:  Mona Kathryn Garvin; Michael David Abràmoff; Xiaodong Wu; Stephen R Russell; Trudy L Burns; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2009-03-10       Impact factor: 10.048

10.  Curvature correction of retinal OCTs using graph-based geometry detection.

Authors:  Raheleh Kafieh; Hossein Rabbani; Michael D Abramoff; Milan Sonka
Journal:  Phys Med Biol       Date:  2013-04-11       Impact factor: 3.609

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