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An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities
Mass spectrometry imaging (MSI) is used in many aspects of clinical research, including pharmacokinetics, toxicology, personalised medicine, and surgical decision-making. Maximising its potential requires the spatial integration of MSI images with imaging data from existing clinical imaging modaliti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821033/ https://www.ncbi.nlm.nih.gov/pubmed/35156074 http://dx.doi.org/10.1016/j.jmsacl.2021.12.006 |
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author | Balluff, Benjamin Heeren, Ron M.A. Race, Alan M. |
author_facet | Balluff, Benjamin Heeren, Ron M.A. Race, Alan M. |
author_sort | Balluff, Benjamin |
collection | PubMed |
description | Mass spectrometry imaging (MSI) is used in many aspects of clinical research, including pharmacokinetics, toxicology, personalised medicine, and surgical decision-making. Maximising its potential requires the spatial integration of MSI images with imaging data from existing clinical imaging modalities, such as histology and MRI. To ensure that the information is properly integrated, all contributing images must be accurately aligned. This process is called image registration and is the focus of this review. In light of the ever-increasing spatial resolution of MSI instrumentation and a diversification of multi-modal MSI studies (e.g., spatial omics, 3D-MSI), the accuracy, versatility, and precision of image registration must increase accordingly. We review the application of image registration to align MSI data with different clinically relevant ex vivo and in vivo imaging techniques. Based on this, we identify steps in the current image registration processes where there is potential for improvement. Finally, we propose a roadmap for community efforts to address these challenges in order to increase registration quality and help MSI to fully exploit its multi-modal potential. |
format | Online Article Text |
id | pubmed-8821033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88210332022-02-11 An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities Balluff, Benjamin Heeren, Ron M.A. Race, Alan M. J Mass Spectrom Adv Clin Lab Special issue on Data Science Mass spectrometry imaging (MSI) is used in many aspects of clinical research, including pharmacokinetics, toxicology, personalised medicine, and surgical decision-making. Maximising its potential requires the spatial integration of MSI images with imaging data from existing clinical imaging modalities, such as histology and MRI. To ensure that the information is properly integrated, all contributing images must be accurately aligned. This process is called image registration and is the focus of this review. In light of the ever-increasing spatial resolution of MSI instrumentation and a diversification of multi-modal MSI studies (e.g., spatial omics, 3D-MSI), the accuracy, versatility, and precision of image registration must increase accordingly. We review the application of image registration to align MSI data with different clinically relevant ex vivo and in vivo imaging techniques. Based on this, we identify steps in the current image registration processes where there is potential for improvement. Finally, we propose a roadmap for community efforts to address these challenges in order to increase registration quality and help MSI to fully exploit its multi-modal potential. Elsevier 2021-12-18 /pmc/articles/PMC8821033/ /pubmed/35156074 http://dx.doi.org/10.1016/j.jmsacl.2021.12.006 Text en © 2021 THE AUTHORS https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Special issue on Data Science Balluff, Benjamin Heeren, Ron M.A. Race, Alan M. An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title | An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title_full | An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title_fullStr | An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title_full_unstemmed | An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title_short | An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
title_sort | overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities |
topic | Special issue on Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821033/ https://www.ncbi.nlm.nih.gov/pubmed/35156074 http://dx.doi.org/10.1016/j.jmsacl.2021.12.006 |
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