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A 4D CT digital phantom of an individual human brain for perfusion analysis
Brain perfusion is of key importance to assess brain function. Modern CT scanners can acquire perfusion maps of the cerebral parenchyma in vivo at submillimeter resolution. These perfusion maps give insights into the hemodynamics of the cerebral parenchyma and are critical for example for treatment...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134368/ https://www.ncbi.nlm.nih.gov/pubmed/27917312 http://dx.doi.org/10.7717/peerj.2683 |
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author | Manniesing, Rashindra Brune, Christoph van Ginneken, Bram Prokop, Mathias |
author_facet | Manniesing, Rashindra Brune, Christoph van Ginneken, Bram Prokop, Mathias |
author_sort | Manniesing, Rashindra |
collection | PubMed |
description | Brain perfusion is of key importance to assess brain function. Modern CT scanners can acquire perfusion maps of the cerebral parenchyma in vivo at submillimeter resolution. These perfusion maps give insights into the hemodynamics of the cerebral parenchyma and are critical for example for treatment decisions in acute stroke. However, the relations between acquisition parameters, tissue attenuation curves, and perfusion values are still poorly understood and cannot be unraveled by studies involving humans because of ethical concerns. We present a 4D CT digital phantom specific for an individual human brain to analyze these relations in a bottom-up fashion. Validation of the signal and noise components was based on 1,000 phantom simulations of 20 patient imaging data. This framework was applied to quantitatively assess the relation between radiation dose and perfusion values, and to quantify the signal-to-noise ratios of penumbra regions with decreasing sizes in white and gray matter. This is the first 4D CT digital phantom that enables to address clinical questions without having to expose the patient to additional radiation dose. |
format | Online Article Text |
id | pubmed-5134368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51343682016-12-02 A 4D CT digital phantom of an individual human brain for perfusion analysis Manniesing, Rashindra Brune, Christoph van Ginneken, Bram Prokop, Mathias PeerJ Radiology and Medical Imaging Brain perfusion is of key importance to assess brain function. Modern CT scanners can acquire perfusion maps of the cerebral parenchyma in vivo at submillimeter resolution. These perfusion maps give insights into the hemodynamics of the cerebral parenchyma and are critical for example for treatment decisions in acute stroke. However, the relations between acquisition parameters, tissue attenuation curves, and perfusion values are still poorly understood and cannot be unraveled by studies involving humans because of ethical concerns. We present a 4D CT digital phantom specific for an individual human brain to analyze these relations in a bottom-up fashion. Validation of the signal and noise components was based on 1,000 phantom simulations of 20 patient imaging data. This framework was applied to quantitatively assess the relation between radiation dose and perfusion values, and to quantify the signal-to-noise ratios of penumbra regions with decreasing sizes in white and gray matter. This is the first 4D CT digital phantom that enables to address clinical questions without having to expose the patient to additional radiation dose. PeerJ Inc. 2016-11-30 /pmc/articles/PMC5134368/ /pubmed/27917312 http://dx.doi.org/10.7717/peerj.2683 Text en ©2016 Manniesing et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Radiology and Medical Imaging Manniesing, Rashindra Brune, Christoph van Ginneken, Bram Prokop, Mathias A 4D CT digital phantom of an individual human brain for perfusion analysis |
title | A 4D CT digital phantom of an individual human brain for perfusion analysis |
title_full | A 4D CT digital phantom of an individual human brain for perfusion analysis |
title_fullStr | A 4D CT digital phantom of an individual human brain for perfusion analysis |
title_full_unstemmed | A 4D CT digital phantom of an individual human brain for perfusion analysis |
title_short | A 4D CT digital phantom of an individual human brain for perfusion analysis |
title_sort | 4d ct digital phantom of an individual human brain for perfusion analysis |
topic | Radiology and Medical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134368/ https://www.ncbi.nlm.nih.gov/pubmed/27917312 http://dx.doi.org/10.7717/peerj.2683 |
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