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3d thinning algorithm  (MathWorks Inc)


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    MathWorks Inc 3d thinning algorithm
    Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of <t>a</t> <t>MATLAB</t> <t>3D</t> thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).
    3d Thinning Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/3d thinning algorithm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    3d thinning algorithm - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Quantitative comparison of a novel swept-source optical coherence tomography angiography device with three established systems"

    Article Title: Quantitative comparison of a novel swept-source optical coherence tomography angiography device with three established systems

    Journal: Scientific Reports

    doi: 10.1038/s41598-025-04650-9

    Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of a MATLAB 3D thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).
    Figure Legend Snippet: Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of a MATLAB 3D thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).

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    Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of <t>a</t> <t>MATLAB</t> <t>3D</t> thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).
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    Image Search Results


    Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of a MATLAB 3D thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).

    Journal: Scientific Reports

    Article Title: Quantitative comparison of a novel swept-source optical coherence tomography angiography device with three established systems

    doi: 10.1038/s41598-025-04650-9

    Figure Lengend Snippet: Visualization of the different steps of the OCTAVA image analyzer. ( a ) Resized en face image from DREAM OCTA (512 × 512). ( b ) Image after application of the Frangi filter and binarization. ( c ) Graphical representation of the heatmap of vessel diameter created using a Euclidean distance transform. ( d ) Image skeletonized after application of a MATLAB 3D thinning algorithm. ( e ) Graphical result of automated measurement of foveal avascular zone (marked in red; yellow: starting edges of the algorithm).

    Article Snippet: The result after applying the Frangi filter and binarization is shown in Fig. b. Post-segmentation, the binarized image undergoes skeletonization via a Matlab 3D thinning algorithm , and a heatmap of vessel diameter is created using a Euclidean distance transform .

    Techniques: