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

文献类型：期刊论文

作者Hu, Yuzhi3,4; Limaye, Ajay2; Lu, Jing1
刊名ROYAL SOCIETY OPEN SCIENCE
出版日期2020-12-16
卷号7期号:12页码:7
关键词three-dimensional segmentation Drishti Paint computed tomography 3D Freeform Painter gradient threshold
ISSN号2054-5703
DOI10.1098/rsos.201033
通讯作者Lu, Jing(lujing@ivpp.ac.cn)
英文摘要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.
WOS关键词VISUALIZATION
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
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000600121300001
出版者ROYAL SOC
资助机构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
源URL[http://119.78.100.205/handle/311034/18813]  
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.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Beijing 100044, Peoples R China
2.Natl Computat Infrastruct, Bldg 143,Corner Ward Rd & Garran Rd,Ward Rd, Canberra, ACT 2601, Australia
3.Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT 2601, Australia
4.Australian Natl Univ, Res Sch Phys, Dept Appl Math, Canberra, ACT 2601, Australia
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.

入库方式： OAI收割

来源：古脊椎动物与古人类研究所

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