Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering
3D volume rendering may represent a complementary option in the visualization of Digital Breast Tomosynthesis (DBT) examinations by providing an understanding of the underlying data at once. Rendering parameters directly influence the quality of rendered images. The purpose of this work is to study...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/6/7/64 |
| _version_ | 1797417009802117120 |
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| author | Ana M. Mota Matthew J. Clarkson Pedro Almeida Nuno Matela |
| author_facet | Ana M. Mota Matthew J. Clarkson Pedro Almeida Nuno Matela |
| author_sort | Ana M. Mota |
| collection | DOAJ |
| description | 3D volume rendering may represent a complementary option in the visualization of Digital Breast Tomosynthesis (DBT) examinations by providing an understanding of the underlying data at once. Rendering parameters directly influence the quality of rendered images. The purpose of this work is to study the influence of two of these parameters (voxel dimension in <i>z</i> direction and sampling distance) on DBT rendered data. Both parameters were studied with a real phantom and one clinical DBT data set. The voxel size was changed from 0.085 × 0.085 × 1.0 mm<sup>3</sup> to 0.085 × 0.085 × 0.085 mm<sup>3</sup> using ten interpolation functions available in the Visualization Toolkit library (VTK) and several sampling distance values were evaluated. The results were investigated at 90º using volume rendering visualization with composite technique. For phantom quantitative analysis, degree of smoothness, contrast-to-noise ratio, and full width at half maximum of a Gaussian curve fitted to the profile of one disk were used. Additionally, the time required for each visualization was also recorded. Hamming interpolation function presented the best compromise in image quality. The sampling distance values that showed a better balance between time and image quality were 0.025 mm and 0.05 mm. With the appropriate rendering parameters, a significant improvement in rendered images was achieved. |
| first_indexed | 2024-03-09T06:12:39Z |
| format | Article |
| id | doaj.art-6d515bf4988e49ada35d8cf9db2cedde |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-09T06:12:39Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-6d515bf4988e49ada35d8cf9db2cedde2023-12-03T11:56:19ZengMDPI AGJournal of Imaging2313-433X2020-07-01676410.3390/jimaging6070064Optimization of Breast Tomosynthesis Visualization through 3D Volume RenderingAna M. Mota0Matthew J. Clarkson1Pedro Almeida2Nuno Matela3Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, PortugalDepartment of Medical Physics and Biomedical Engineering and the Centre for Medical Image Computing, University College London, London WC1E 6BT, UKInstituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, PortugalInstituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal3D volume rendering may represent a complementary option in the visualization of Digital Breast Tomosynthesis (DBT) examinations by providing an understanding of the underlying data at once. Rendering parameters directly influence the quality of rendered images. The purpose of this work is to study the influence of two of these parameters (voxel dimension in <i>z</i> direction and sampling distance) on DBT rendered data. Both parameters were studied with a real phantom and one clinical DBT data set. The voxel size was changed from 0.085 × 0.085 × 1.0 mm<sup>3</sup> to 0.085 × 0.085 × 0.085 mm<sup>3</sup> using ten interpolation functions available in the Visualization Toolkit library (VTK) and several sampling distance values were evaluated. The results were investigated at 90º using volume rendering visualization with composite technique. For phantom quantitative analysis, degree of smoothness, contrast-to-noise ratio, and full width at half maximum of a Gaussian curve fitted to the profile of one disk were used. Additionally, the time required for each visualization was also recorded. Hamming interpolation function presented the best compromise in image quality. The sampling distance values that showed a better balance between time and image quality were 0.025 mm and 0.05 mm. With the appropriate rendering parameters, a significant improvement in rendered images was achieved.https://www.mdpi.com/2313-433X/6/7/64breast tomosynthesisvisualizationvolume rendering |
| spellingShingle | Ana M. Mota Matthew J. Clarkson Pedro Almeida Nuno Matela Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering Journal of Imaging breast tomosynthesis visualization volume rendering |
| title | Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering |
| title_full | Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering |
| title_fullStr | Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering |
| title_full_unstemmed | Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering |
| title_short | Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering |
| title_sort | optimization of breast tomosynthesis visualization through 3d volume rendering |
| topic | breast tomosynthesis visualization volume rendering |
| url | https://www.mdpi.com/2313-433X/6/7/64 |
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