IMPROVING SEGMENTATION OF 3D RETINA LAYERS BASED ON GRAPH THEORY APPROACH FOR LOW QUALITY OCT IMAGES

被引：15

作者：

Stankiewicz, Agnieszka ^{[1
]}

Marciniak, Tomasz ^{[1
]}

Dabrowski, Adam ^{[1
]}

Stopa, Marcin ^{[2
,3
,4
]}

Rakowicz, Piotr ^{[2
,3
,4
]}

Marciniak, Elzbieta ^{[3
,4
]}

机构：

[1] Poznan Univ Tech, Dept Comp, Piotrowo 3a, PL-60965 Poznan, Poland

[2] Poznan Univ Med Sci, Dept Optometry & Biol Visual Syst, Rokietnicka 5D, PL-60806 Poznan, Poland

[3] Poznan Univ Med Sci, Clin Eye Unit, Grunwaldzka 16-18, PL-60780 Poznan, Poland

[4] Heliodor Swiecicki Univ Hosp, Pediat Ophthalmol Serv, Grunwaldzka 16-18, PL-60780 Poznan, Poland

来源：

METROLOGY AND MEASUREMENT SYSTEMS | 2016年 / 23卷 / 02期

关键词：

Optical Coherence Tomography (OCT); segmentation of retinal layers; image segmentation; graph theory;

D O I：

10.1515/mms-2016-0016

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

This paper presents signal processing aspects for automatic segmentation of retinal layers of the human eye. The paper draws attention to the problems that occur during the computer image processing of images obtained with the use of the Spectral Domain Optical Coherence Tomography (SD OCT). Accuracy of the retinal layer segmentation for a set of typical 3D scans with a rather low quality was shown. Some possible ways to improve quality of the final results are pointed out. The experimental studies were performed using the so-called B-scans obtained with the OCT Copernicus HR device. (C) 2016 Polish Academy of Sciences. All rights reserved

引用

页码：269 / 280

页数：12

共 50 条

[1] AN INNOVATIVE 3D ADAPTIVE PATIENT-RELATED ATLAS FOR AUTOMATIC SEGMENTATION OF RETINA LAYERS FROM OCT IMAGES
Sleman, Ahmed A.
Eltanboly, Ahmed
Soliman, Ahmed
Ghazal, Mohammed
Sandhu, Harpal
Schaal, Shlomit
Keynton, Robert
Elmaghraby, Adel
El-Baz, Ayman
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 729 - 733
[2] Intra-retinal Layers Segmentation of Macular OCT Images Based on the Graph Optimal Approach
Gao, Zhijun
Bu, Wei
Wu, Xiangqian
Zheng, Yalin
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 1359 - 1364
[3] 3D OCT images from retina and skin
Podoleanu, AG
Rogers, JA
Dunne, S
Jackson, DA
APPLICATIONS OF PHOTONIC TECHNOLOGY 4: CLOSING THE GAP BETWEEN THEORY, DEVELOPMENT, AND APPLICATION, 2000, 4087 : 1043 - 1049
[4] Vessel segmentation in 3D spectral OCT scans of the retina
Niemeijer, Meindert
Garvin, Mona K.
van Ginneken, Bram
Sonka, Milan
Abramoff, Michael D.
MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914
[5] Segmentation of Retinal Layers in OCT Images Based on CNN and Improved Graph Search
Tang Yanhong
Chen Yunzhao
Liu Mingdi
Zeng Yaguang
Zhou Yuexia
LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (24)
[6] Graph-Based Semantic Segmentation for 3D Digital Images
Burdescu, Dumitru Dan
Brezovan, Marius
Stanescu, Liana
Spahiu, Cosmin Stoica
Ebanca, Daniel Costin
2017 31ST IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (IEEE WAINA 2017), 2017, : 114 - 119
[7] Graph-based learning for segmentation of 3D ultrasound images
Chang, Huali
Chen, Zhenping
Huang, Qinghua
Shi, Jun
Li, Xuelong
NEUROCOMPUTING, 2015, 151 : 632 - 644
[8] A Graph-Based Segmentation Method for 3D Ultrasound Images
Zheng, Lifang
Huang, Qinghua
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4001 - 4005
[9] Multi-task learning approach for volumetric segmentation and reconstruction in 3D OCT images
Cahyo, Dheo A. Y.
Yow, Ai Ping
Saw, Seang-Mei
Ang, Marcus
Girard, Michael
Schmetterer, Leopold
Wong, Damon
BIOMEDICAL OPTICS EXPRESS, 2021, 12 (12) : 7348 - 7360
[10] SEGMENTATION OF 3D DYNAMIC MESHES BASED ON REEB GRAPH APPROACH
Hachani, M.
Zaid, A. Ouled
Puech, W.
2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 2175 - 2179

← 1 2 3 4 5 →