Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments

doi:10.1098/rsos.201033

IVPP-IR

	Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments
	Hu, Yuzhi 1,2; Limaye, Ajay 3; Lu, Jing 4
	2020-12-16
发表期刊	ROYAL SOCIETY OPEN SCIENCE
ISSN	2054-5703
卷号	7 期号:12 页码:7
通讯作者	Lu, Jing(lujing@ivpp.ac.cn)
摘要	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 present a new release of the open-source volume exploration, rendering and three-dimensional segmentation software, Drishti v. 2.7. We introduce a new tool for thresholding volume data (i.e. gradient thresholding) and a protocol for performing three-dimensional segmentation using the 3D Freeform Painter tool. These new tools and workflow enable more accurate and precise digital reconstruction, three-dimensional modelling and three-dimensional printing results. We use scan data of a fossil fish as a case study, but our procedure is widely applicable in biological, medical and industrial research.
关键词	three-dimensional segmentation Drishti Paint computed tomography 3D Freeform Painter gradient threshold
DOI	10.1098/rsos.201033
关键词[WOS]	VISUALIZATION
收录类别	SCI
语种	英语
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDB26000000] ; National Natural Science Foundation of China[41872023] ; Postgraduate Research Scholarship at the Research School of Physics, Australian National University ; National Computational Infrastructure, Australian National University ; Department of Applied Mathematics, Research School of Physics ; Australian Research Council[DP160102460] ; ANU CT Lab
项目资助者	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Postgraduate Research Scholarship at the Research School of Physics, Australian National University ; National Computational Infrastructure, Australian National University ; Department of Applied Mathematics, Research School of Physics ; Australian Research Council ; ANU CT Lab
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000600121300001
出版者	ROYAL SOC
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.205/handle/311034/18814
专题	中国科学院古脊椎动物与古人类研究所
通讯作者	Lu, Jing
作者单位	1.Australian Natl Univ, Res Sch Phys, Dept Appl Math, Canberra, ACT 2601, Australia 2.Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT 2601, Australia 3.Natl Computat Infrastruct, Bldg 143,Corner Ward Rd & Garran Rd,Ward Rd, Canberra, ACT 2601, Australia 4.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Beijing 100044, Peoples R China
推荐引用方式 GB/T 7714	Hu, Yuzhi,Limaye, Ajay,Lu, Jing. Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments[J]. ROYAL SOCIETY OPEN SCIENCE,2020,7(12):7.
APA	Hu, Yuzhi,Limaye, Ajay,&Lu, Jing.(2020).Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments.ROYAL SOCIETY OPEN SCIENCE,7(12),7.
MLA	Hu, Yuzhi,et al."Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments".ROYAL SOCIETY OPEN SCIENCE 7.12(2020):7.