Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments. Issue 12 (16th December 2020)

• Record Type: Journal Article
• Authors: Hu, Yuzhi; Limaye, Ajay; Lu, Jing
• Is Part Of: Royal Society open science. Volume 7:Issue 12(2020)
• Publication Date: 2020-12-16
• Subjects: three-dimensional segmentation -- Drishti Paint -- computed tomography -- 3D Freeform Painter -- gradient threshold; Science -- Periodicals; 500
• DOI: 10.1098/rsos.201033
• Languages: English
• ISSNs: 2054-5703

Abstract

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.