Cargando…
Characterizing geometric distortions of 3D sequences in clinical head MRI
OBJECTIVE: Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (MRI). However, the distortions may differ between anatomical and phantom images. This study aimed to investigate the applicability of a phantom-based and a test-subject-based method in evaluating geo...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596562/ https://www.ncbi.nlm.nih.gov/pubmed/35657535 http://dx.doi.org/10.1007/s10334-022-01020-8 |
_version_ | 1784815899416461312 |
---|---|
author | Nousiainen, Katri Mäkelä, Teemu Peltonen, Juha I. |
author_facet | Nousiainen, Katri Mäkelä, Teemu Peltonen, Juha I. |
author_sort | Nousiainen, Katri |
collection | PubMed |
description | OBJECTIVE: Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (MRI). However, the distortions may differ between anatomical and phantom images. This study aimed to investigate the applicability of a phantom-based and a test-subject-based method in evaluating geometric distortion present in clinical head-imaging sequences. MATERIALS AND METHODS: We imaged a 3D-printed phantom and test subjects with two MRI scanners using two clinical head-imaging 3D sequences with varying patient-table positions and receiver bandwidths. The geometric distortions were evaluated through nonrigid registrations: the displaced acquisitions were compared against the ideal isocenter positioning, and the varied bandwidth volumes against the volume with the highest bandwidth. The phantom acquisitions were also registered to a computed tomography scan. RESULTS: Geometric distortion magnitudes increased with larger table displacements and were in good agreement between the phantom and test-subject acquisitions. The effect of increased distortions with decreasing receiver bandwidth was more prominent for test-subject acquisitions. CONCLUSION: Presented results emphasize the sensitivity of the geometric accuracy to positioning and imaging parameters. Phantom limitations may become an issue with some sequence types, encouraging the use of anatomical images for evaluating the geometric accuracy. |
format | Online Article Text |
id | pubmed-9596562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95965622022-10-27 Characterizing geometric distortions of 3D sequences in clinical head MRI Nousiainen, Katri Mäkelä, Teemu Peltonen, Juha I. MAGMA Research Article OBJECTIVE: Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (MRI). However, the distortions may differ between anatomical and phantom images. This study aimed to investigate the applicability of a phantom-based and a test-subject-based method in evaluating geometric distortion present in clinical head-imaging sequences. MATERIALS AND METHODS: We imaged a 3D-printed phantom and test subjects with two MRI scanners using two clinical head-imaging 3D sequences with varying patient-table positions and receiver bandwidths. The geometric distortions were evaluated through nonrigid registrations: the displaced acquisitions were compared against the ideal isocenter positioning, and the varied bandwidth volumes against the volume with the highest bandwidth. The phantom acquisitions were also registered to a computed tomography scan. RESULTS: Geometric distortion magnitudes increased with larger table displacements and were in good agreement between the phantom and test-subject acquisitions. The effect of increased distortions with decreasing receiver bandwidth was more prominent for test-subject acquisitions. CONCLUSION: Presented results emphasize the sensitivity of the geometric accuracy to positioning and imaging parameters. Phantom limitations may become an issue with some sequence types, encouraging the use of anatomical images for evaluating the geometric accuracy. Springer International Publishing 2022-06-03 2022 /pmc/articles/PMC9596562/ /pubmed/35657535 http://dx.doi.org/10.1007/s10334-022-01020-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Research Article Nousiainen, Katri Mäkelä, Teemu Peltonen, Juha I. Characterizing geometric distortions of 3D sequences in clinical head MRI |
title | Characterizing geometric distortions of 3D sequences in clinical head MRI |
title_full | Characterizing geometric distortions of 3D sequences in clinical head MRI |
title_fullStr | Characterizing geometric distortions of 3D sequences in clinical head MRI |
title_full_unstemmed | Characterizing geometric distortions of 3D sequences in clinical head MRI |
title_short | Characterizing geometric distortions of 3D sequences in clinical head MRI |
title_sort | characterizing geometric distortions of 3d sequences in clinical head mri |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596562/ https://www.ncbi.nlm.nih.gov/pubmed/35657535 http://dx.doi.org/10.1007/s10334-022-01020-8 |
work_keys_str_mv | AT nousiainenkatri characterizinggeometricdistortionsof3dsequencesinclinicalheadmri AT makelateemu characterizinggeometricdistortionsof3dsequencesinclinicalheadmri AT peltonenjuhai characterizinggeometricdistortionsof3dsequencesinclinicalheadmri |