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

Author:

Hu Yuzhi12ORCID,Limaye Ajay3,Lu Jing4ORCID

Affiliation:

1. Department of Applied Mathematics, Research School of Physics, Australian National University, Canberra, ACT 2601, Australia

2. Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia

3. National Computational Infrastructure, Building 143, Corner of Ward Road and Garran Road, Ward Rd, Canberra, ACT 2601, Australia

4. Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, People's Republic of China

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 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.

Funder

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Australian Research Council

Publisher

The Royal Society

Subject

Multidisciplinary

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