Automated Segmentation of Pathological Cavities in Optical Coherence Tomography Scans

2013 ◽  
Vol 54 (6) ◽  
pp. 4385 ◽  
Author(s):  
Matthäus Pilch ◽  
Knut Stieger ◽  
Yaroslava Wenner ◽  
Markus N. Preising ◽  
Christoph Friedburg ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Automated Segmentation ◽  
Optical Coherence

scholarly journals Impact of manual correction over automated segmentation of spectral domain optical coherence tomography

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Alexandre Gomes Bortoloti de Azevedo ◽  
Guilherme Eiichi da Silva Takitani ◽  
Bruno Rebello Godoy ◽  
Bruna Ferraço Marianelli ◽  
Vinicius Saraiva ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Spectral Domain ◽  
Automated Segmentation ◽  
Optical Coherence ◽  
Manual Correction

scholarly journals Automated segmentation of the macula by optical coherence tomography

2009 ◽  
Vol 17 (18) ◽  
pp. 15659 ◽  
Author(s):  
Tapio Fabritius ◽  
Shuichi Makita ◽  
Masahiro Miura ◽  
Risto Myllylä ◽  
Yoshiaki Yasuno
Keyword(s):  
Optical Coherence Tomography ◽  
Automated Segmentation ◽  
Optical Coherence

scholarly journals Need for manual segmentation in optical coherence tomography angiography of neovascular age-related macular degeneration

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244828
Author(s):  
Supriya Dabir ◽  
Vaidehi Bhatt ◽  
Deepak Bhatt ◽  
Mohan Rajan ◽  
Preetam Samant ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence Tomography Angiography ◽  
Subretinal Fluid ◽  
Age Related Macular Degeneration ◽  
Automated Segmentation ◽  
Optical Coherence ◽  
Manual Segmentation ◽  
Outer Retina ◽  
Age Related ◽  
En Face

Purpose To compare the characteristics of eyes that had manual vs. automated segmentation of choroidal neovascular membrane (CNVM) using optical coherence tomography angiography (OCTA). Methods All patients with CNVM underwent OCTA using the Zeiss Angioplex Cirrus 5000. Slabs of the avascular outer retina, outer retina to choriocapillaris (ORCC) region and choriocapillaris were generated. Manual segmentation was done when there were significant segmentation artifacts. Presence of activity of CNVM was adjudged by the presence of subretinal fluid (SRF) on structural OCT and was compared to activity detected on en face OCTA slabs based on well-defined criteria. Results Eighty-one eyes of 81 patients were recruited of which manual segmentation was required in 46 (57%). Eyes with automated segmentation had significantly more CNVM in the ORCC (75%) whereas those with manual segmentation had deeper CNVM (sub-RPE = 22%, intra-PED = 22%) (p<0.001). Twenty eyes (25%) were found to have active CNVM on both the structural OCT and OCTA while an additional 19 eyes were presumed to have active CNVM on OCTA alone. There was only modest concordance between disease activity detected using structural OCT and OCTA (Kappa = 0.47, 95% CI = 0.30 to 0.64). Conclusions Manual segmentation of OCTA is required in more than 50% eyes with CNVM and this progressively increases with increasing depth of CNVM location from the ORCC to below the RPE. There is moderate concordance between OCTA and structural OCT in determining CNVM activity.

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