scholarly journals Fast Segmentation Algorithm for Cystoid Macular Edema Based on Omnidirectional Wave Operator

2021 ◽  
Vol 11 (14) ◽  
pp. 6480
Author(s):  
Jing Liu ◽  
Shiliang Lou ◽  
Xiaodong Chen ◽  
Huaiyu Cai ◽  
Yi Wang
Keyword(s):  
Macular Edema ◽  
Cystoid Macular Edema ◽  
Wave Operator ◽  
Automatic Segmentation ◽  
Region Of Interest ◽  
Segmentation Algorithm ◽  
Working Environment ◽  
Process Time ◽  
Data Set ◽  
Contrast Stretching

Optical coherence tomography (OCT) is widely used in the field of ophthalmic imaging. The existing technology cannot automatically extract the contour of the OCT images of cystoid macular edema (CME) and can only evaluate the degree of lesions by detecting the thickness of the retina. To solve this problem, this paper proposes an automatic segmentation algorithm that can segment the CME in OCT images of the fundus quickly and accurately. This method firstly constructs the working environment by denoising and contrast stretching, secondly extracts the region of interest (ROI) containing CME according to the average gray distribution of the image, and then uses the omnidirectional wave operator to perform multidirectional automatic segmentation. Finally, the fused segmentation results are screened by gray threshold and position feature, and the contour extraction of CME is realized. The segmentation results of the proposed method on data set images are compared with those obtained by manual marking of experts. The accuracy, recall, Dice index, and F1-score are 88.8%, 75.0%, 81.1%, and 81.3%, respectively, with the average process time being 1.2 s. This algorithm is suitable for general CME image segmentation and has high robustness and segmentation accuracy.

scholarly journals Multimodal OCT Reflectivity Analysis of the Cystoid Spaces in Cystoid Macular Edema

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Roberta Farci ◽  
Alexandre Sellam ◽  
Florence Coscas ◽  
Gabriel J. Coscas ◽  
Giacomo Diaz ◽  
...  
Keyword(s):  
Macular Edema ◽  
Cystoid Macular Edema ◽  
Automatic Segmentation ◽  
Correlated Data ◽  
Color Images ◽  
Spectral Domain Oct ◽  
Structural Density ◽  
Imagej Software ◽  
The University ◽  
Eye Clinic

Purpose. To compare and evaluate images of macular cysts with different degrees of reflectivity (from gray to black signal) as observed in B scan spectral domain OCT (SDOCT) and EnFace OCT with decorrelation signal obtained with OCT-angiography (OCTA) in eyes with cystoid macular edema (CME) secondary to diabetic retinopathy (DR) and retinal vein occlusion (RVO). Methods. Images from 3033 patients affected by CME secondary to diabetes or RVO examined OCTA (Optovue XR Avanti, Optovue, USA) at the University Eye Clinic of Créteil, Hôpital Intercommunal, France, and at the University Eye Clinic of Cagliari, “San Giovanni di Dio” Hospital, Italy, were retrospectively examined. The deep capillary plexus OCTA images and the corresponding EnFace OCT images, both acquired with the same automatic segmentation, had been overlapped to compose RGB color images as red and green channels, respectively, using ImageJ software (National Institutes of Health, Bethesda, MD). Afterward, linear regions of interest were traced on the color images to obtain the profiles of OCTA and EnFace gray values. Number of pixels, mean gray value and standard deviation of the area traced in OCT-A, and EnFace image were analyzed and statistically correlated. Data were exported to Excel to create the plots. Results. 94 patients with DME and 27 patients with RVO showed intraretinal macular cystoid spaces with similar homogeneous, gray-looking content; 73 patients with DME and 113 patients with RVO showed macular cystoid spaces with homogeneous, black-looking content, as observed at SD-OCT, EnFace and OCTA scans. Interestingly, the limits of macular cystoid spaces were clearly detectable with OCTA. The analysis of red and green profiles demonstrated a clearly visible overlap between average OCTA and EnFace signal observed around cystoid spaces that could be attributed to a relationship between the dynamic vascularization and the structural density of the tissue. Conclusions. This is the first investigation that characterizes and correlates OCTA and EnFace signals on images of macular cystoid spaces in DR and RVO. The low intensity OCTA signals observed inside cystoid spaces raise a relevant question about their nature, as to whether they are due to the presence of corpusculated material pouring out from bloodocular-barrier or they should be considered OCTA artifacts.

Cystoid Macular Edema Secondary to Paclitaxel Therapy

2019 ◽  
Vol 2 ◽  
pp. 1 ◽  
Author(s):  
Anibal Martin Folgar ◽  
Jorge Oscar Zarate
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Acuity ◽  
Fluorescein Angiography ◽  
Macular Edema ◽  
Cystoid Macular Edema ◽  
Metastatic Breast ◽  
Breast Adenocarcinoma ◽  
Optical Coherence ◽  
Ophthalmoscopic Examination

We present a 57-year-old referred reduced visual acuity who was in treatment with paclitaxel for developing metastatic breast adenocarcinoma. Ophthalmoscopic examination, optical coherence tomography, and autofluorescence show the cystoid macular edema, but fluorescein angiography is normal, without leakage of dye in the late times. The patient responds well 8 weeks after stopping antineoplastic. Paclitaxel can cause cystoid macular edema and lifting a recovery both anatomical and functional of the macula.

Cystoid Macular Edema Due to Accidental Latanoprost Overdose After Uncomplicated Phacoemulsification

2018 ◽  
Vol 13 (3) ◽  
pp. 208-210 ◽  
Author(s):  
Olga E. Makri ◽  
Iasonas K. Tsekouras ◽  
Panagiotis Plotas ◽  
Foteini Tsapardoni ◽  
Athina Pallikari ◽  
...  
Keyword(s):  
Macular Edema ◽  
Cystoid Macular Edema

Effect of Intravitreal Injection as a Primary Treatment in Cystoid Macular Edema after Cataract Surgery

2012 ◽  
Vol 53 (3) ◽  
pp. 428 ◽  
Author(s):  
Joo Yeon Kim ◽  
Joung Mok Kim ◽  
Young Ju Lew ◽  
Chul Gu Kim ◽  
Sung Won Cho ◽  
...  
Keyword(s):  
Cataract Surgery ◽  
Macular Edema ◽  
Intravitreal Injection ◽  
Cystoid Macular Edema ◽  
Primary Treatment

scholarly journals A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions

2021 ◽  
Vol 18 (4) ◽  
pp. 1662
Author(s):  
Mohammed Alkahtani ◽  
Muhammad Omair ◽  
Qazi Salman Khalid ◽  
Ghulam Hussain ◽  
Imran Ahmad ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Rate ◽  
Manufacturing System ◽  
Working Environment ◽  
Data Set ◽  
Manufacturing Firm ◽  
Chain Management ◽  
Ripple Effects ◽  
Multi Stage

The management of a controllable production in the manufacturing system is essential to achieve viable advantages, particularly during emergency conditions. Disasters, either man-made or natural, affect production and supply chains negatively with perilous effects. On the other hand, flexibility and resilience to manage the perpetuated risks in a manufacturing system are vital for achieving a controllable production rate. Still, these performances are strongly dependent on the multi-criteria decision making in the working environment with the policies launched during the crisis. Undoubtedly, health stability in a society generates ripple effects in the supply chain due to high demand fluctuation, likewise due to the Coronavirus disease-2019 (COVID-19) pandemic. Incorporation of dependent demand factors to manage the risk from uncertainty during this pandemic has been a challenge to achieve a viable profit for the supply chain partners. A non-linear supply chain management model is developed with a controllable production rate to provide an economic benefit to the manufacturing firm in terms of the optimized total cost of production and to deal with the different situations under variable demand. The costs in the model are set as fuzzy to cope up with the uncertain conditions created by lasting pandemic. A numerical experiment is performed by utilizing the data set of the multi-stage manufacturing firm. The optimal results provide support for the industrial managers based on the proactive plan by the optimal utilization of the resources and controllable production rate to cope with the emergencies in a pandemic.

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