Agreement between clinical estimation and a new quantitative analysis by Photoshop software in fundus and angiographic image variables

Ramezani, Alireza; Ahmadieh, Hamid; Azarmina, Mohsen; Soheilian, Masoud; Dehghan, Mohammad Hossein; Mohebbi, Maryam

doi:10.1007/s10792-008-9259-6

Cited by 3 publications

(4 citation statements)

References 21 publications

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“…Clinical evaluation of retinal lesions represents a fundamental step in positive diagnosis and management of all retinal disorders. Tridimensional analysis starts in retinal plane with biomicroscopy, ophthalmoscopy and angiography, building a "retinal lesions map" [1][2][3][4][5][6][7]. New techniques of optical coherence tomography (OCTs) highly define the retinal lesions morphopathology in axial plane, realizing a "microscopic view" of retinal and pathologic tissues, layer by layer [4,[8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…Some authors measured in millimeters or pixels the retinal lesions greatest linear dimension GLD -GLD [mm] or GLD[pix] [5,14,19,[22][23][24][25]. The retinal lesions mouse-driven delimited area (mdrdA) was quantified in total number of pixels -A[tpix] [7,[26][27][28][29][30] in MPS or DA units after defining the optic nerve head (ONH) area as a standard MPS or DA unit -A[MPS] or A[DA] [5,14,20,22,23,25,[31][32][33][34][35][36][37][38][39]. Other methods expressed the retinal lesions area in mm 2 A[mm 2 ] after the approximation of ONH diameter as 1.5mm or 1.8mm, consequently, the ONH area being 1.77mm 2 or 2.54mm 2 .…”

Section: Introductionmentioning

confidence: 99%

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Untitled

2022

BJSTR

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SITE-App algorithm variant 2007 was first reported at ARVO Meeting, Fort Lauderdale, 2008, as an audio-visual poster. Results of measurements on fluorescein angiography and red free images realized by using SITE-App software were presented as posters at ARVO Meeting, Fort Lauderdale, 2009 and 2010, SITE-App variant 2021 was published on the website https://www.eyestorywithnarcisa.com, SITE-App variant 2022 is finished and soon to be released to publication. PurposeTo design an algorithm for quantitative assessment of retinal lesions size in fluorescein angiography (FA).Methods: Black-white fundus photos were recorded during FA from patients with age related macular degeneration, before and after Bevacizumab intravitreal injections. Area of "white lesions" was quantified in white pixels inside standardized retinal areas of interest, by using SITE-App algorithm. Method reproducibility was assessed by comparing two independent readers measurements. Method sensitivity was evaluated by comparing SITE-App results with the ones of other published quantitative methods: greatest linear dimension in millimeters -GLD [mm] or pixels -GLD[pix], mouse-delimited lesions area in MPS units -A[MPS], mm2 -A[mm2], total pixels -A[tpix] or white pixels A[wpix]. Correlation between methods was analyzed by calculation of correlation factor.Results: SITE-App is reproducible because differences between two independent readers measurements were not statistically significant (p>0.05). The reproducibility was found very good for SITE-App (p=0.49) and A[wpix] (p=0.22). The reproducibility was lower, but still good for A[MPS] and A[mm2] (p=0.13). A[tpix] (p=0.01), GLD[pix] (p=0.0003) and GLD[mm] (p=0.0005) were found not reproducible. The highest sensitivity was observed for SITE-App (p1=0.002, p2=0.021) and A[wpix] (p1=0.007, p2=0.02), that also showed high correlation (r1=0,96, r2=0,94). A[MPS] and A[mm2] offered very dispersed and unsure results (R1=1.54±26.1, R2=3.51±17.3). No statistical significance of data correction for incidence angle variations of images capture was found. Conclusion:Quantification of retinal lesions in white (or black) pixels inside of interest standardized areas (SITE-App algorithm) is reproducible, sensitive, easy, fast and low cost, very useful for longitudinal clinical studies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Untitled

2022

BJSTR

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“…This evaluation is often subjective with mental factors and cannot make the right judgments, especially in the vicinities of theoretical boundary between two adhesive grades. With the popularity of office automation, image processing technique is used in many fields 3–11. Photoshop is one of the essential tools in graphic design, desktop publishing and for advertising agencies 3–5.…”

Section: Introductionmentioning

confidence: 99%

“…Abraham Kurien measures stone surface area from a radiographic image with the help of an imaging program, and the results were accurate and reproducible 9. Abraham Kurien tests the agreement between clinical estimation and a quantitative analysis by Photoshop software in fundus and angiographic image variables 10. Shijin Dong puts forward a new characterizing method for measuring subvisible dirt in the recycled paper industry 11.…”

Section: Introductionmentioning

confidence: 99%

The use of Photoshop software to estimate the adhesion and rust‐resistant properties of coating film

Zhao

Wang²,

Cui

et al. 2011

Surface & Interface Analysis

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Detection and Evaluation of Skin Disorders by One of Photogrammetric Image Analysis Methods

Güçin

Πατιάς²,

Altan

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Abnormalities on skin may vary from simple acne to painful wounds which affect a person's life quality. Detection of these kinds of disorders in early stages, followed by the evaluation of abnormalities is of high importance. At this stage, photogrammetry offers a non-contact solution to this concern by providing geometric highly accurate data. Photogrammetry, which has been used for firstly topographic purposes, in virtue of terrestrial photogrammetry became useful technique in non-topographic applications also (Wolf et al., 2000). Moreover the extension of usage of photogrammetry, in parallel with the development in technology, analogue photographs are replaced with digital images and besides digital image processing techniques, it provides modification of digital images by using filters, registration processes etc. Besides, photogrammetry (using same coordinate system by registration of images) can serve as a tool for the comparison of temporal imaging data. The aim of this study is to examine several digital image processing techniques, in particular the digital filters, which might be useful to determine skin disorders. In our study we examine affordable to purchase, user friendly software which needs neither expertise nor pre-training. Since it is a pre-work for subsequent and deeper studies, Adobe Photoshop 7.0 is used as a present software. In addition to that Adobe Photoshop released a DesAcc plug-ins with CS3 version and provides full compatibility with DICOM (Digital Imaging and Communications in Medicine) and PACS (Picture Archiving and Communications System) that enables doctors to store all medical data together with relevant images and share if necessary.

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Agreement between clinical estimation and a new quantitative analysis by Photoshop software in fundus and angiographic image variables

Cited by 3 publications

References 21 publications

Untitled

Untitled

The use of Photoshop software to estimate the adhesion and rust‐resistant properties of coating film

Detection and Evaluation of Skin Disorders by One of Photogrammetric Image Analysis Methods

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