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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321085/ https://www.ncbi.nlm.nih.gov/pubmed/34460657 http://dx.doi.org/10.3390/jimaging6070064 |
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author | Mota, Ana M. Clarkson, Matthew J. Almeida, Pedro Matela, Nuno |
author_facet | Mota, Ana M. Clarkson, Matthew J. Almeida, Pedro Matela, Nuno |
author_sort | Mota, Ana M. |
collection | PubMed |
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 z 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(3) to 0.085 × 0.085 × 0.085 mm(3) 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. |
format | Online Article Text |
id | pubmed-8321085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83210852021-08-26 Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering Mota, Ana M. Clarkson, Matthew J. Almeida, Pedro Matela, Nuno J Imaging Article 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 z 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(3) to 0.085 × 0.085 × 0.085 mm(3) 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. MDPI 2020-07-04 /pmc/articles/PMC8321085/ /pubmed/34460657 http://dx.doi.org/10.3390/jimaging6070064 Text en © 2020 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Mota, Ana M. Clarkson, Matthew J. Almeida, Pedro Matela, Nuno Optimization of Breast Tomosynthesis Visualization through 3D 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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321085/ https://www.ncbi.nlm.nih.gov/pubmed/34460657 http://dx.doi.org/10.3390/jimaging6070064 |
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