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Non-invasive mass and temperature quantifications with spectral CT
Spectral CT has been increasingly implemented clinically for its better characterization and quantification of materials through its multi-energy results. It also facilitates calculation of physical density, allowing for non-invasive mass measurements and temperature evaluations by manipulating the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104802/ https://www.ncbi.nlm.nih.gov/pubmed/37059839 http://dx.doi.org/10.1038/s41598-023-33264-2 |
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author | Liu, Leening P. Hwang, Matthew Hung, Matthew Soulen, Michael C. Schaer, Thomas P. Shapira, Nadav Noël, Peter B. |
author_facet | Liu, Leening P. Hwang, Matthew Hung, Matthew Soulen, Michael C. Schaer, Thomas P. Shapira, Nadav Noël, Peter B. |
author_sort | Liu, Leening P. |
collection | PubMed |
description | Spectral CT has been increasingly implemented clinically for its better characterization and quantification of materials through its multi-energy results. It also facilitates calculation of physical density, allowing for non-invasive mass measurements and temperature evaluations by manipulating the definition of physical density and thermal volumetric expansion, respectively. To develop spectral physical density quantifications, original and parametrized Alvarez–Macovski model and electron density-physical density model were validated with a phantom. The best physical density model was then implemented on clinical spectral CT scans of ex vivo bovine muscle to determine the accuracy and effect of acquisition parameters on mass measurements. In addition, the relationship between physical density and changes in temperature was evaluated by scanning and subjecting the tissue to a range of temperatures. The parametrized Alvarez–Macovski model performed best in both model development and validation with errors within ± 0.02 g/mL. No effect from acquisition parameters was observed in mass measurements, which demonstrated accuracy with a maximum percent error of 0.34%. Furthermore, physical density was strongly correlated (R of 0.9781) to temperature changes through thermal volumetric expansion. Accurate and precise spectral physical density quantifications enable non-invasive mass measurements for pathological detection and temperature evaluation for thermal therapy monitoring in interventional oncology. |
format | Online Article Text |
id | pubmed-10104802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101048022023-04-16 Non-invasive mass and temperature quantifications with spectral CT Liu, Leening P. Hwang, Matthew Hung, Matthew Soulen, Michael C. Schaer, Thomas P. Shapira, Nadav Noël, Peter B. Sci Rep Article Spectral CT has been increasingly implemented clinically for its better characterization and quantification of materials through its multi-energy results. It also facilitates calculation of physical density, allowing for non-invasive mass measurements and temperature evaluations by manipulating the definition of physical density and thermal volumetric expansion, respectively. To develop spectral physical density quantifications, original and parametrized Alvarez–Macovski model and electron density-physical density model were validated with a phantom. The best physical density model was then implemented on clinical spectral CT scans of ex vivo bovine muscle to determine the accuracy and effect of acquisition parameters on mass measurements. In addition, the relationship between physical density and changes in temperature was evaluated by scanning and subjecting the tissue to a range of temperatures. The parametrized Alvarez–Macovski model performed best in both model development and validation with errors within ± 0.02 g/mL. No effect from acquisition parameters was observed in mass measurements, which demonstrated accuracy with a maximum percent error of 0.34%. Furthermore, physical density was strongly correlated (R of 0.9781) to temperature changes through thermal volumetric expansion. Accurate and precise spectral physical density quantifications enable non-invasive mass measurements for pathological detection and temperature evaluation for thermal therapy monitoring in interventional oncology. Nature Publishing Group UK 2023-04-14 /pmc/articles/PMC10104802/ /pubmed/37059839 http://dx.doi.org/10.1038/s41598-023-33264-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Leening P. Hwang, Matthew Hung, Matthew Soulen, Michael C. Schaer, Thomas P. Shapira, Nadav Noël, Peter B. Non-invasive mass and temperature quantifications with spectral CT |
title | Non-invasive mass and temperature quantifications with spectral CT |
title_full | Non-invasive mass and temperature quantifications with spectral CT |
title_fullStr | Non-invasive mass and temperature quantifications with spectral CT |
title_full_unstemmed | Non-invasive mass and temperature quantifications with spectral CT |
title_short | Non-invasive mass and temperature quantifications with spectral CT |
title_sort | non-invasive mass and temperature quantifications with spectral ct |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104802/ https://www.ncbi.nlm.nih.gov/pubmed/37059839 http://dx.doi.org/10.1038/s41598-023-33264-2 |
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