Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography

被引：0

作者：

Rathke, Fabian ^{[1
]}

Schmidt, Stefan ^{[2
]}

Schnoerr, Christoph ^{[1
,2
]}

机构：

[1] Heidelberg Univ, Image & Pattern Anal Grp IPA, D-6900 Heidelberg, Germany

[2] Heidelberg Collaborat Image Processing HCI, Heidelberg, Germany

来源：

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI 2011, PT III | 2011年 / 6893卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present a probabilistic approach to the segmentation of OCT scans of retinal tissue. By combining discrete exact inference and a global shape prior, accurate segmentations are computed that preserve the physiological order of intra-retinal layers. A major part of the computations can be performed in parallel. The evaluation reveals robustness against speckle noise, shadowing caused by blood vessels, and other scan artifacts.

引用

页码：370 / +

页数：2

共 50 条

[41] SHORTEST PATH WITH BACKTRACKING BASED AUTOMATIC LAYER SEGMENTATION IN PATHOLOGICAL RETINAL OPTICAL COHERENCE TOMOGRAPHY
Liu, Xiaoming
Liu, Dong
Fu, Tianyu
Zhang, Kai
Liu, Jun
Chen, Li
[J]. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 2770 - 2774
[42] CTS-Net: A Segmentation Network for Glaucoma Optical Coherence Tomography Retinal Layer Images
Xue, Songfeng
Wang, Haoran
Guo, Xinyu
Sun, Mingyang
Song, Kaiwen
Shao, Yanbin
Zhang, Hongwei
Zhang, Tianyu
[J]. BIOENGINEERING-BASEL, 2023, 10 (02):
[43] Stack generalized deep ensemble learning for retinal layer segmentation in Optical Coherence Tomography images
Anoop, B. N.
Pavan, Rakesh
Girish, G. N.
Kothari, Abhishek R.
Rajan, Jeny
[J]. BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2020, 40 (04) : 1343 - 1358
[44] A Deep Learning-based Method for Retinal Layer and Drusen Segmentation on Optical Coherence Tomography
Guo, Yukun
Hormel, Tristan
Gao, Min
Hwang, Thomas S.
Bailey, Steven T.
Jia, Yali
[J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
[45] Retinal Layer Segmentation in Patients with Multiple Sclerosis Using Spectral Domain Optical Coherence Tomography
Garcia-Martin, Elena
Polo, Vicente
Larrosa, Jose M.
Marques, Marcia L.
Herrero, Raquel
Martin, Jesus
Ara, Jose R.
Fernandez, Javier
Pablo, Luis E.
[J]. OPHTHALMOLOGY, 2014, 121 (02) : 573 - 579
[46] Intelligent interaction and uncertainty visualization for efficient drusen and retinal layer segmentation in Optical Coherence Tomography
Zadeh, Shekoufeh Gorgi
Wintergerst, Maximilian W. M.
Schultz, Thomas
[J]. COMPUTERS & GRAPHICS-UK, 2019, 83 : 51 - 61
[47] Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images
Lu, Huiqi
Boonarpha, Nattapon
Kwong, Man Ting
Zheng, Yalin
[J]. 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 5869 - 5872
[48] Segmentation of Retinal Lesions by Polarization Sensitive Optical Coherence Tomography
Hitzenberger, C. K.
Baumann, B.
Ahlers, C.
Schuetze, C.
Schlanitz, F.
Bolz, M.
Lammer, J.
Gotzinger, E.
Pircher, M.
Schmidt-Erfurth, U.
[J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2010, 51 (13)
[49] Automated volumetric segmentation of retinal fluid on optical coherence tomography
Wang, Jie
Zhang, Miao
Pechauer, Alex D.
Liu, Liang
Hwang, Thomas S.
Wilson, David J.
Li, Dengwang
Jia, Yali
[J]. BIOMEDICAL OPTICS EXPRESS, 2016, 7 (04): : 1577 - 1589
[50] Denoising and Segmentation of Retinal Layers In Optical Coherence Tomography images
Dash, Puspita
Sigappi, A. N.
[J]. INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, MATERIALS AND APPLIED SCIENCE, 2018, 1952

← 1 2 3 4 5 →