Retinal Image Vessel Width Analysis in Retinopathy of Prematurity

2019 ◽  
Vol 8 (2) ◽  
pp. 59-63
Author(s):  
R. Manjunatha ◽  
H. S. Sheshadri
Keyword(s):  
Comparative Analysis ◽  
Retinopathy Of Prematurity ◽  
Retinal Image ◽  
Retinal Vessel ◽  
Computation Method ◽  
Hospital Data ◽  
Local Hospital ◽  
Theoretical Investigations ◽  
Image Width ◽  
Vessel Width

This paper aims at development of Oscillating Pendulum Based Algorithm (OPBA) for retinal image width computation and analysis for the investigation of Retinopathy of prematurity (ROP). The algorithms have been explained in detail with theoretical investigations and simulations, images from local hospital data base were considered in the investigation. Further this paper also presents an overview of direct retinal vessel width computation method along with the comparative analysis. The results obtained are found to be encouraging for analysis of plus disease under ROP.

The rate of change in retinal vessel width and tortuosity in eyes at risk for retinopathy of prematurity

2012 ◽  
Vol 16 (5) ◽  
pp. 431-436 ◽  
Author(s):  
Devon H. Ghodasra ◽  
Atiporn Thuangtong ◽  
Karen A. Karp ◽  
Gui-Shuang Ying ◽  
Monte D. Mills ◽  
...  
Keyword(s):  
At Risk ◽  
Retinopathy Of Prematurity ◽  
Retinal Vessel ◽  
Rate Of Change ◽  
Vessel Width

scholarly journals Boundary Extraction and Vessel Width Calculation in Retinal Fundus Images

2019 ◽  
Vol 8 (2) ◽  
pp. 63-70
Author(s):  
R. Manjunatha ◽  
H. S. Sheshadri
Keyword(s):  
Statistical Parameter ◽  
Retinal Vessel ◽  
Boundary Extraction ◽  
Generic Data ◽  
Width Measurement ◽  
Image Capturing ◽  
Image Width ◽  
Retinal Information ◽  
Retinal Fundus ◽  
Vessel Width

A retinal vessel width measurement algorithm is presented towards ROP (Retinopathy of Prematurity) plus diagnostic automation. The algorithm involving geometrical feature extraction with the image processing is used to compute the effective width of the major vessels in a retinal image. Width measurement is shown to be a statistical parameter estimation related to the statistics of the retinal information. The algorithm is applied to the generic data bases available and the results are found to be satisfactory with ophthalmologist opinion. The effectiveness of the algorithm depends on the fundus image capturing settings.

scholarly journals Analysis of the etiologies of female infertility in Yunnan minority areas

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fen Zhang ◽  
Qing Feng ◽  
Linna Yang ◽  
Xuelian Liu ◽  
Lingyun Su ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Comparative Analysis ◽  
Pelvic Inflammatory Disease ◽  
Inflammatory Disease ◽  
Yunnan Province ◽  
Female Infertility ◽  
Individualized Treatment ◽  
Local Hospital ◽  
Intrauterine Adhesions ◽  
Epidemiological Characteristics

Abstract Background The present study aims to provide a comparative analysis of the etiologies of female infertility between Dehong, on the Yunnan Frontier, and Kunming. Methods A retrospective study, which included 941 infertile females in Kunming who were treated in the First People’s Hospital of Yunnan Province and infertile females who were treated in the local hospital in Dehong from January 2016 to November 2018, was conducted. A comparative analysis of the etiologies of infertility in the two regions was then carried out. Results In patients with primary infertility, ovulation disorder (15.03%) was the main cause of infertility in Kunming, and pelvic inflammatory disease (25.59%) was the main cause in Dehong. With regard to secondary infertility, although pelvic inflammatory disease was the main cause of infertility in both regions, the incidence of intrauterine adhesions in Kunming was significantly higher than in Dehong. Conclusions The etiology of infertility showed different epidemiological characteristics depending on the region, hence individualized treatment should be given accordingly

Computerized Analysis of Retinal Vessel Width and Tortuosity in Premature Infants

2008 ◽  
Vol 49 (8) ◽  
pp. 3577 ◽  
Author(s):  
Clare M. Wilson ◽  
Kenneth D. Cocker ◽  
Merrick J. Moseley ◽  
Carl Paterson ◽  
Simon T. Clay ◽  
...  
Keyword(s):  
Premature Infants ◽  
Retinal Vessel ◽  
Computerized Analysis ◽  
Vessel Width

scholarly journals Efficient Segmentation and Registration of Retinal Image Using Gumble Probability Distribution and BRISK Feature

2020 ◽  
Vol 37 (5) ◽  
pp. 855-864
Author(s):  
Nagendra Pratap Singh ◽  
Vibhav Prakash Singh
Keyword(s):  
Retinal Image ◽  
Matched Filter ◽  
Computation Time ◽  
Retinal Vessel ◽  
Retinal Images ◽  
Feature Descriptor ◽  
Retinal Diseases ◽  
Vessel Structure ◽  
Feature Based ◽  
Image Pairs

The registration of segmented retinal images is mainly used for the diagnosis of various diseases such as glaucoma, diabetes, and hypertension, etc. These retinal diseases depend on the retinal vessel structure. The fast and accurate registration of segmented retinal images helps to identify the changes in vessels and the diagnosis of the diseases. This paper presents a novel binary robust invariant scalable key point (BRISK) feature-based segmented retinal image registration approach. The BRISK framework is an efficient keypoint detection, description, and matching approach. The proposed approach contains three steps, namely, pre-processing, segmentation using matched filter based Gumbel pdf, and BRISK framework for registration of segmented source and target retinal images. The effectiveness of the proposed approach is demonstrated by evaluating the normalized cross-correlation of image pairs. Based on the experimental analysis, it has been observed that the performance of the proposed approach is better in both aspect, registration performance as well as computation time with respect to SURF and Harris partial intensity invariant feature descriptor based registration.

scholarly journals CXCL5 Has Potential to Be a Marker for Hepatocellular Carcinoma Prognosis and Was Correlating With Immune Infiltrates

2021 ◽  
Vol 11 ◽  
Author(s):  
Yuan Nie ◽  
Mei-chun Jiang ◽  
Cong Liu ◽  
Qi Liu ◽  
Xuan Zhu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Hospital Data ◽  
Gene Set Enrichment ◽  
Local Hospital ◽  
High Expression Group ◽  
Cancer Genome Atlas

BackgroundsTumor microenvironment (TME) plays a crucial role in the initiation and progression of Hepatocellular Carcinoma (HCC), especially immune infiltrates. However, there is still a challenge in understanding the modulation of the immune and stromal components in TME, especially TME related genes.MethodsThe proportion of tumor-infiltrating immune cells (TICs) and the immune and stromal scores in 374 HCC patients from The Cancer Genome Atlas (TCGA) database were determined using CIBERSORT and ESTIMATE computational methods. The final screened genes were confirmed by the PPI network and univariate Cox regression of the differentially expressed genes based on different immune or stromal scores. The correlation between the expression levels of the final gene interactions and the clinical characteristics was based on TCGA database and local hospital data. Gene set enrichment analysis (GSEA) and the effect of CXCL5 expression on TICs were conducted.ResultsThere were correlations between the expression of CXCL5 and survival of HCC patients and TMN classification both in TCGA database and local hospital data. The immune-related activities were enriched in the high-expression group; however, the metabolic pathways were enriched in the low-expression group. The result of CIBERSORT analyzing had indicated that CXCL5 expression were correlated with the proportion of NK cells activated, macrophages M0, Mast cells resting, Neutrophils.ConclusionsCXCL5 was a potential prognostic marker for HCC and provides clues regarding immune infiltrates, which offers extra insight for therapeutics of HCC, however, more independent cohorts and functional experiments of CXCL5 are warranted.

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