Ramalhinho, João;
Dowrick, Thomas;
Bonmati, Ester;
Clarkson, Matthew J;
(2023)
Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes.
Journal of Open Research Software
, 11
(1)
, Article 3. 10.5334/jors.422.
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Abstract
Fan-Slicer (https://github.com/UCL/fan-slicer) is a Python package that enables the fast sampling (slicing) of 2D ultrasound-shaped images from a 3D volume. To increase sampling speed, CUDA kernel functions are used in conjunction with the Pycuda package. The main features include functions to generate images from both 3D surface models and 3D volumes. Additionally, the package also allows for the sampling of images from curvilinear (fan shaped planes) and linear (rectangle shaped planes) ultrasound transducers. Potential uses of Fan-slicer include the generation of large datasets of 2D images from 3D volumes and the simulation of intra-operative data among others.
| Type: | Article |
|---|---|
| Title: | Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5334/jors.422 |
| Publisher version: | https://doi.org/10.5334/jors.422 |
| Language: | English |
| Additional information: | © 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0) (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Journal of Open Research Software is a peer-reviewed open access journal published by Ubiquity Press. |
| Keywords: | Python; CUDA; Medical Imaging; Simulation; Synthetic Ultrasound; Volumetric Imaging |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10168030 |
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