Drishti Paint 3.2: a new open-source tool for both 2D and 3D segmentation
Received date: 2024-05-17
Online published: 2024-06-19
X-ray computed tomography (CT) has been an important technology in paleontology for several decades. It helps researchers to acquire detailed anatomical structures of fossils non-destructively. Despite its widespread application, developing an efficient and user-friendly method for segmenting CT data continues to be a formidable challenge in the field. Most CT data segmentation software operates on 2D interfaces, which limits flexibility for real-time adjustments in 3D segmentation. Here, we introduce Curves Mode in Drishti Paint 3.2, an open-source tool for CT data segmentation. Drishti Paint 3.2 allows users to manually or semi-automatically segment the CT data in both 2D and 3D environments, providing a novel solution for revisualizing CT data in paleontological studies.
WANG Meng-Jun , Ajay LIMAYE , LU Jing . Drishti Paint 3.2: a new open-source tool for both 2D and 3D segmentation[J]. Vertebrata Palasiatica, 2024 , 62(4) : 313 -320 . DOI: 10.19615/j.cnki.2096-9899.240619
[1] | Buzug T M, 2011. Computed tomography. In: Kramme R, Hoffmann K P, Pozos R S eds. Springer Handbook of Medical Technology. Berlin, Heidelberg: Springer Berlin Heidelberg. 311-342 |
[2] | Cunningham J A, Rahman I A, Lautenschlager S et al., 2014. A virtual world of paleontology. Trends Ecol Evol, 29: 347-357 |
[3] | Du X K, Zhang F K, Lu J C et al., 1997. Computed tomography in research on paleontology. J Beijing Med Univ, 29: 46-47 |
[4] | Hu Y Z, Limaye A, Lu J, 2020. Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments. R Soc Open Sci, 7: 201033 |
[5] | Hu Y Z, Limaye A, Lu J, 2021. A 3D segmentation & reconstruction method in paleontology using Drishti. Bio-101: e1010668 |
[6] | Hu Y Z, Limaye A, Lu J, 2024. 3D revisualisation: a new method to revisit segmented data. R Soc Open Sci, 11: 240375 |
[7] | Kouraiss K, El Hariri K, El Albani A et al., 2019. Digitization of fossils from the Fezouata Biota (Lower Ordovician, Morocco): evaluating computed tomography and photogrammetry in collection enhancement. Geoheritage, 11: 1889-1901 |
[8] | Lakare S, Kaufman A, 2000. 3D segmentation techniques for medical volumes. Center for Visual Computing, Department of Computer Science, State University of New York, 2000: 59-68 |
[9] | Lautenschlager S, 2016. Reconstructing the past: methods and techniques for the digital restoration of fossils. R Soc Open Sci, 3: 160342 |
[10] | Lautenschlager S, Rücklin M, 2014. Beyond the print—virtual paleontology in science publishing, outreach, and education. J Paleontol, 88: 727-734 |
[11] | Limaye A, 2012. Drishti: a volume exploration and presentation tool. SPIE Proc, 8506: 191-199 |
[12] | Rahman I A, Smith S Y, 2015. Virtual paleontology: computer-aided analysis of fossil form and function. J Paleontol, 88: 633-635 |
[13] | Sutton M, Rahman I, Garwood R, 2014. Techniques for Virtual Palaeontology. New Jersey: John Wiley & Sons, Inc. 1-200 |
[14] | Sutton M, Rahman I, Garwood R, 2016. Virtual paleontology—an overview. Paleontol Soc Pap, 22: 1-20 |
[15] | Yin Z J, Lu J, 2019. Virtual palaeontology: when fossils illuminated by X-ray. Palaeoworld, 28: 425-428 |
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