An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities.
J Mass Spectrom Adv Clin Lab
; 23: 26-38, 2022 Jan.
Article
em En
| MEDLINE
| ID: mdl-35156074
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.
2D, two dimensional; 3D, three dimensional; CT, computed tomography; DESI, desorption electrospray ionisation; H&E, haematoxylin & eosin; Histology; ICP, inductively coupled plasma; IHC, immunohistochemistry; Image integration; Image registration; LA-ICP-MS, laser ablation inductively coupled plasma mass spectrometry; LMD, laser microdissection; MALDI, matrix-assisted laser desorption/ionisation; MRI, magnetic resonance imaging; MSI, mass spectrometry imaging; Magnetic resonance imaging; Mass spectrometry imaging; PCA, principal component analysis; PET, positron emission tomography; RGB, redgreen-blue; SIMS, secondary ion mass spectrometry; UMAP, uniform manifold approximation and projection; tSNE, t-distributed stochastic neighbourhood embedding
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
J Mass Spectrom Adv Clin Lab
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Holanda
País de publicação:
Holanda