2012
DOI: 10.1117/12.935640
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Drishti: a volume exploration and presentation tool

Abstract: Among several rendering techniques for volumetric data, direct volume rendering is a powerful visualization tool for a wide variety of applications. This paper describes the major features of hardware based volume exploration and presentation tool-Drishti. The word, Drishti, stands for vision or insight in Sanskrit, an ancient Indian language. Drishti is a cross-platform open-source volume rendering system that delivers high quality, state of the art renderings. The features in Drishti include, though not limi… Show more

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Cited by 438 publications
(322 citation statements)
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References 8 publications
(4 reference statements)
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“…These were converted to two image stacks that were cropped and then aligned in SPIERSalign (Sutton et al 2012), surfaced in SPIERSedit, rendered in Blender (cf. Garwood & Dunlop 2014) and volume rendered in Drishti (Limaye 2012).…”
Section: Methodsmentioning
confidence: 99%
“…These were converted to two image stacks that were cropped and then aligned in SPIERSalign (Sutton et al 2012), surfaced in SPIERSedit, rendered in Blender (cf. Garwood & Dunlop 2014) and volume rendered in Drishti (Limaye 2012).…”
Section: Methodsmentioning
confidence: 99%
“…These images were used to assess the difference of the imaged density of CASs between the soil close to macropores and the soil in the matrix of all natural soil samples. (Limaye, 2012).…”
Section: Spatial Distribution Of Cation Exchange Capacitymentioning
confidence: 99%
“…Reconstruction and thermal drift correction was performed in NRecon v. 1.7.0.4 (Brucker microCT) and the images were converted to 8bit grayscale images via Fiji ImageJ v. 1.49k (Schindelin et al 2012). Volume rendering of the dataset for three-dimensional exploration and visualization was done in Drishti v. 2.6.3 (Limaye 2012). The tentorium and nebententorium were segmented automatically and corrected manually in ITK-SNAP v. 3.4.0 (Yushkevich et al 2006).…”
Section: Micro-ct Imagingmentioning
confidence: 99%