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BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study
Blood-oxygen-level-dependent (BOLD) signal has been commonly used in functional magnetic resonance imaging (fMRI) to observe the activity in different areas of the brain or other organs. This signal is difficult to simulate, because its amplitude is nearly 1~3% and it is influenced by multiple facto...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156364/ https://www.ncbi.nlm.nih.gov/pubmed/32034636 http://dx.doi.org/10.1007/s11517-020-02133-9 |
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author | Chen, Tiao Zhao, Yue Jia, Chuntao Yuan, Zilong Qiu, Jianfeng |
author_facet | Chen, Tiao Zhao, Yue Jia, Chuntao Yuan, Zilong Qiu, Jianfeng |
author_sort | Chen, Tiao |
collection | PubMed |
description | Blood-oxygen-level-dependent (BOLD) signal has been commonly used in functional magnetic resonance imaging (fMRI) to observe the activity in different areas of the brain or other organs. This signal is difficult to simulate, because its amplitude is nearly 1~3% and it is influenced by multiple factors. This study aimed to design and construct an active BOLD simulation phantom and test its stability and repeatability. The phantom consisted of two perpendicular loops. The BOLD signal was simulated by different stimuli generated by a regular periodic vibration current and transmission loops. Three scanners (Siemens skyra 3.0 T, Siemens verio 3.0 T, and GE signa HD 1.5 T) were used to test the stability and repeatability of the BOLD signal detection of the phantom. The percent signal change (PSC) was calculated for each stimulus. At baseline, the phantom exhibited stability, and the average signal variation was below 1% as revealed by the three scanners. The SNR of ROIs with different sizes were markedly high, being 2326.58 and 2389.24; and the ghosting ratio were 0.39% and 0.38%, and the stimuli detection efficiency for Siemens verio and Siemens skyra was 60% and 75%, respectively. The repeated scans of the same scanner for different stimuli were highly reproducible. In the three scanners, the PSC at the same location varied from nearly 1 to 3%. The areas activated on the phantom revealed by different scanners were comparatively consistent. The phantom designed for fMRI quantitative quality control displays good adaptability to different scanners and is easy to operate. It can reliably collect data by simple data processing. [Figure: see text] |
format | Online Article Text |
id | pubmed-7156364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71563642020-04-23 BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study Chen, Tiao Zhao, Yue Jia, Chuntao Yuan, Zilong Qiu, Jianfeng Med Biol Eng Comput Original Article Blood-oxygen-level-dependent (BOLD) signal has been commonly used in functional magnetic resonance imaging (fMRI) to observe the activity in different areas of the brain or other organs. This signal is difficult to simulate, because its amplitude is nearly 1~3% and it is influenced by multiple factors. This study aimed to design and construct an active BOLD simulation phantom and test its stability and repeatability. The phantom consisted of two perpendicular loops. The BOLD signal was simulated by different stimuli generated by a regular periodic vibration current and transmission loops. Three scanners (Siemens skyra 3.0 T, Siemens verio 3.0 T, and GE signa HD 1.5 T) were used to test the stability and repeatability of the BOLD signal detection of the phantom. The percent signal change (PSC) was calculated for each stimulus. At baseline, the phantom exhibited stability, and the average signal variation was below 1% as revealed by the three scanners. The SNR of ROIs with different sizes were markedly high, being 2326.58 and 2389.24; and the ghosting ratio were 0.39% and 0.38%, and the stimuli detection efficiency for Siemens verio and Siemens skyra was 60% and 75%, respectively. The repeated scans of the same scanner for different stimuli were highly reproducible. In the three scanners, the PSC at the same location varied from nearly 1 to 3%. The areas activated on the phantom revealed by different scanners were comparatively consistent. The phantom designed for fMRI quantitative quality control displays good adaptability to different scanners and is easy to operate. It can reliably collect data by simple data processing. [Figure: see text] Springer Berlin Heidelberg 2020-02-08 2020 /pmc/articles/PMC7156364/ /pubmed/32034636 http://dx.doi.org/10.1007/s11517-020-02133-9 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Article Chen, Tiao Zhao, Yue Jia, Chuntao Yuan, Zilong Qiu, Jianfeng BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title | BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title_full | BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title_fullStr | BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title_full_unstemmed | BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title_short | BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study |
title_sort | bold signal simulation and fmri quality control base on an active phantom: a preliminary study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156364/ https://www.ncbi.nlm.nih.gov/pubmed/32034636 http://dx.doi.org/10.1007/s11517-020-02133-9 |
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