2020
DOI: 10.1098/rsos.201033
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Three-dimensional segmentation of computed tomography data using Drishti Paint : new tools and developments

Abstract: Computed tomography (CT) has become very widely used in scientific and medical research and industry for its non-destructive and high-resolution means of detecting internal structure. Three-dimensional segmentation of computed tomography data sheds light on internal features of target objects. Three-dimensional segmentation of CT data is supported by various well-established software programs, but the powerful functionalities and capabilities of open-source software have not been fully revealed. Here, we prese… Show more

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Cited by 28 publications
(9 citation statements)
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“…Raw images from all scans were reconstructed using the FDK algorithm. Reconstructed scan data were imported into VG Studio software version 3.1(Volume Graphics, Inc., NC, USA) and Drishti Volume Exploration Software 74 for 3D rendering of bone and soft tissue.…”
Section: Methodsmentioning
confidence: 99%
“…Raw images from all scans were reconstructed using the FDK algorithm. Reconstructed scan data were imported into VG Studio software version 3.1(Volume Graphics, Inc., NC, USA) and Drishti Volume Exploration Software 74 for 3D rendering of bone and soft tissue.…”
Section: Methodsmentioning
confidence: 99%
“…The image stack was cropped, optimized for brightness and contrast, and saved in tif-format. The tif-stack was then imported using Drishti Import v2.7 and structures of interest (skull bones, bony labyrinth, membranous labyrinth, neuronal structures) were manually segmented in Drishti [ 9 ]. Drishti files were imported in Meshlab_64bit_fp v2021.10 [ 10 ] and rendered as 3D-models.…”
Section: Methodsmentioning
confidence: 99%
“…DRISHTI [25,26] is a visualisation tool for 3D pixel data, which has been extended with segmentation and measurement tools.…”
Section: Glossarymentioning
confidence: 99%