GPU-Enabled Volume Renderer for Use with MATLAB
Traditional tools, such as 3D Slicer, Fiji, and MATLAB<sup>®</sup>, often encounter limitations in rendering performance and data management as the dataset sizes increase. This work presents a GPU-enabled volume renderer with a MATLAB<sup>®</sup> interface that addresses thes...
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MDPI AG
2024-11-01
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| Series: | Digital |
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| Online Access: | https://www.mdpi.com/2673-6470/4/4/49 |
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| author | Raphael Scheible |
| author_facet | Raphael Scheible |
| author_sort | Raphael Scheible |
| collection | DOAJ |
| description | Traditional tools, such as 3D Slicer, Fiji, and MATLAB<sup>®</sup>, often encounter limitations in rendering performance and data management as the dataset sizes increase. This work presents a GPU-enabled volume renderer with a MATLAB<sup>®</sup> interface that addresses these issues. The proposed renderer uses flexible memory management and leverages the GPU texture-mapping features of NVIDIA devices. It transfers data between the CPU and the GPU only in the case of a data change between renderings, and uses texture memory to make use of specific hardware benefits of the GPU and improve the quality. A case study using the ViBE-Z zebrafish larval dataset demonstrated the renderer’s ability to produce visualizations while managing extensive data effectively within the MATLAB<sup>®</sup> environment. The renderer is available as open-source software. |
| format | Article |
| id | doaj-art-dc5b71f625b7457db9b343d7606005cc |
| institution | DOAJ |
| issn | 2673-6470 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Digital |
| spelling | doaj-art-dc5b71f625b7457db9b343d7606005cc2025-08-20T02:55:45ZengMDPI AGDigital2673-64702024-11-0144990100710.3390/digital4040049GPU-Enabled Volume Renderer for Use with MATLABRaphael Scheible0Institute of Artificial Intelligence and Informatics in Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, GermanyTraditional tools, such as 3D Slicer, Fiji, and MATLAB<sup>®</sup>, often encounter limitations in rendering performance and data management as the dataset sizes increase. This work presents a GPU-enabled volume renderer with a MATLAB<sup>®</sup> interface that addresses these issues. The proposed renderer uses flexible memory management and leverages the GPU texture-mapping features of NVIDIA devices. It transfers data between the CPU and the GPU only in the case of a data change between renderings, and uses texture memory to make use of specific hardware benefits of the GPU and improve the quality. A case study using the ViBE-Z zebrafish larval dataset demonstrated the renderer’s ability to produce visualizations while managing extensive data effectively within the MATLAB<sup>®</sup> environment. The renderer is available as open-source software.https://www.mdpi.com/2673-6470/4/4/49imagingthree-dimensionalbiomedical image processingmedical image processingvisualizationdirect volume rendering |
| spellingShingle | Raphael Scheible GPU-Enabled Volume Renderer for Use with MATLAB Digital imaging three-dimensional biomedical image processing medical image processing visualization direct volume rendering |
| title | GPU-Enabled Volume Renderer for Use with MATLAB |
| title_full | GPU-Enabled Volume Renderer for Use with MATLAB |
| title_fullStr | GPU-Enabled Volume Renderer for Use with MATLAB |
| title_full_unstemmed | GPU-Enabled Volume Renderer for Use with MATLAB |
| title_short | GPU-Enabled Volume Renderer for Use with MATLAB |
| title_sort | gpu enabled volume renderer for use with matlab |
| topic | imaging three-dimensional biomedical image processing medical image processing visualization direct volume rendering |
| url | https://www.mdpi.com/2673-6470/4/4/49 |
| work_keys_str_mv | AT raphaelscheible gpuenabledvolumerendererforusewithmatlab |