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Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging
The objective of this study is to create patient-specific phantoms for computed tomography (CT) that have realistic image texture and densities, which are critical in evaluating CT performance in clinical settings. The study builds upon a previously presented 3D printing method (PixelPrint) by incor...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168421/ https://www.ncbi.nlm.nih.gov/pubmed/37162973 http://dx.doi.org/10.1101/2023.04.17.23288689 |
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author | Mei, Kai Pasyar, Pouyan Geagan, Michael Liu, Leening P. Shapira, Nadav Gang, Grace J. Stayman, J. Webster Noël, Peter B. |
author_facet | Mei, Kai Pasyar, Pouyan Geagan, Michael Liu, Leening P. Shapira, Nadav Gang, Grace J. Stayman, J. Webster Noël, Peter B. |
author_sort | Mei, Kai |
collection | PubMed |
description | The objective of this study is to create patient-specific phantoms for computed tomography (CT) that have realistic image texture and densities, which are critical in evaluating CT performance in clinical settings. The study builds upon a previously presented 3D printing method (PixelPrint) by incorporating soft tissue and bone structures. We converted patient DICOM images directly into 3D printer instructions using PixelPrint and utilized stone-based filament to increase Hounsfield unit (HU) range. Density was modeled by controlling printing speed according to volumetric filament ratio to emulate attenuation profiles. We designed micro-CT phantoms to demonstrate the reproducibility and to determine mapping between filament ratios and HU values on clinical CT systems. Patient phantoms based on clinical cervical spine and knee examinations were manufactured and scanned with a clinical spectral CT scanner. The CT images of the patient-based phantom closely resembled original CT images in texture and contrast. Measured differences between patient and phantom were less than 15 HU for soft tissue and bone marrow. The stone-based filament accurately represented bony tissue structures across different X-ray energies, as measured by spectral CT. In conclusion, this study demonstrated the possibility of extending 3D-printed patient-based phantoms to soft tissue and bone structures while maintaining accurate organ geometry, image texture, and attenuation profiles. |
format | Online Article Text |
id | pubmed-10168421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101684212023-05-10 Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging Mei, Kai Pasyar, Pouyan Geagan, Michael Liu, Leening P. Shapira, Nadav Gang, Grace J. Stayman, J. Webster Noël, Peter B. medRxiv Article The objective of this study is to create patient-specific phantoms for computed tomography (CT) that have realistic image texture and densities, which are critical in evaluating CT performance in clinical settings. The study builds upon a previously presented 3D printing method (PixelPrint) by incorporating soft tissue and bone structures. We converted patient DICOM images directly into 3D printer instructions using PixelPrint and utilized stone-based filament to increase Hounsfield unit (HU) range. Density was modeled by controlling printing speed according to volumetric filament ratio to emulate attenuation profiles. We designed micro-CT phantoms to demonstrate the reproducibility and to determine mapping between filament ratios and HU values on clinical CT systems. Patient phantoms based on clinical cervical spine and knee examinations were manufactured and scanned with a clinical spectral CT scanner. The CT images of the patient-based phantom closely resembled original CT images in texture and contrast. Measured differences between patient and phantom were less than 15 HU for soft tissue and bone marrow. The stone-based filament accurately represented bony tissue structures across different X-ray energies, as measured by spectral CT. In conclusion, this study demonstrated the possibility of extending 3D-printed patient-based phantoms to soft tissue and bone structures while maintaining accurate organ geometry, image texture, and attenuation profiles. Cold Spring Harbor Laboratory 2023-04-24 /pmc/articles/PMC10168421/ /pubmed/37162973 http://dx.doi.org/10.1101/2023.04.17.23288689 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Mei, Kai Pasyar, Pouyan Geagan, Michael Liu, Leening P. Shapira, Nadav Gang, Grace J. Stayman, J. Webster Noël, Peter B. Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title | Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title_full | Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title_fullStr | Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title_full_unstemmed | Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title_short | Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging |
title_sort | design and fabrication of 3d-printed patient-specific soft tissue and bone phantoms for ct imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168421/ https://www.ncbi.nlm.nih.gov/pubmed/37162973 http://dx.doi.org/10.1101/2023.04.17.23288689 |
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