Literature DB >> 36147259

Reply to Letter to Editor: Water-Drinking Test in Central Serous Chorioretinopathy.

Niroj Kumar Sahoo1, Jay Chhablani2.   

Abstract

Entities:  

Year:  2022        PMID: 36147259      PMCID: PMC9486996          DOI: 10.4103/joco.joco_149_22

Source DB:  PubMed          Journal:  J Curr Ophthalmol        ISSN: 2452-2325


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Dear Sir, We thank the authors for their comments regarding our article entitled, “Water-Drinking Test in Central Serous Chorioretinopathy”.1 The issue of “blooming effect” is one of the major concerns in the analyses of images having several shades of the grayscale. Moreover, as pointed out by the authors, the issue can appear alike in ultrasound and optical coherence tomography B-scan images. However, the choroidal vascularity index calculation has undergone many modifications since its inception, from segmenting and binarizing it manually using ImageJ software (ImageJ version 1.53, National Institutes of Health, Bethesda, Maryland, USA) to using automated algorithms,3 which is faster and more accurate.4 The automated process involves several steps that refine the image before the actual process of binarization. This includes a preprocessing of the image by denoising using block-matching and three-dimensional filtering, followed by adaptive histogram equalization to improve image contrast.3 The next step is usually an exponential and nonlinear enhancement, which ensures uniform distribution of pixel intensities among stroma and vessel regions.3 These steps minimize the blooming effect to some extent. Furthermore, the application of an automated algorithm allows for the implementation of similar steps for each image every time the algorithm is run. This makes the amplification or error due to the blooming effect similar for each image and makes pre- and post-measurements more comparable. While we understand the authors' concerns regarding the shortcomings of the overall process of binarization in biological tissues with small dimensions, the index was devised to understand the choroidal dynamics better and should be taken as a steppingstone in the evolution of choroidal imaging, rather than a definitive final checkpoint.

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Conflicts of interest

There are no conflicts of interest.
  4 in total

1.  Choroidal structure in normal eyes and after photodynamic therapy determined by binarization of optical coherence tomographic images.

Authors:  Shozo Sonoda; Taiji Sakamoto; Takehiro Yamashita; Makoto Shirasawa; Eisuke Uchino; Hiroto Terasaki; Masatoshi Tomita
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-06-03       Impact factor: 4.799

2.  Influence of scanning area on choroidal vascularity index measurement using optical coherence tomography.

Authors:  Rupesh Agrawal; Xin Wei; Abhilash Goud; Kiran Kumar Vupparaboina; Soumya Jana; Jay Chhablani
Journal:  Acta Ophthalmol       Date:  2017-05-04       Impact factor: 3.761

3.  Water-Drinking Test in Central Serous Chorioretinopathy.

Authors:  Abhilash Goud; Niroj Kumar Sahoo; Mohammed Abdul Rasheed; Sumit Randhir Singh; Samatha Ankireddy; Kiran Kumar Vupparaboina; Marco Lupidi; Jay Chhablani
Journal:  J Curr Ophthalmol       Date:  2021-03-26

4.  Qualitative comparison of choroidal vascularity measurement algorithms.

Authors:  Mohammed A Rasheed; Niroj K Sahoo; Abhilash Goud; Kiran K Vupparaboina; Jay Chhablani
Journal:  Indian J Ophthalmol       Date:  2018-12       Impact factor: 1.848

  4 in total

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