ArticleAnalytical chemistry2019
Automatic 3D Nonlinear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 56 citations in OpenAlex.
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping.PLoS computational biology · 2026Article
- Dimensional cophenetic integrity: a method for evaluation of dimensionality reduction in MSI.Bioinformatics advances · 2026Article
- [Advances in multimodal biomedical imaging of small animals].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Virtual staining of label-free tissue in imaging mass spectrometry.Science advances · 2025Article
- MALDI imaging combined with two-photon microscopy reveals local differences in the heterogeneity of colorectal cancer.Npj imaging · 2024Article
- MALDI-mass spectrometry imaging as a new technique for detecting non-heme iron in peripheral tissues via caudal vein injection of deferoxamine.Analytical and bioanalytical chemistry · 2024Article
- Advances in multimodal mass spectrometry for single-cell analysis and imaging enhancement.FEBS letters · 2024Review
- Mass Spectrometry Imaging in Alzheimer's Disease.Brain connectivity · 2023Article
- Applications and continued evolution of glycan imaging mass spectrometry.Mass spectrometry reviews · 2023Review
- Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis.Journal of personalized medicine · 2023Review
- Advances in Ultra-High-Resolution Mass Spectrometry for Pharmaceutical Analysis.Molecules (Basel, Switzerland) · 2023Review
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Spatial analysis of drug absorption, distribution, metabolism, and toxicology using mass spectrometry imaging.Biochemical pharmacology · 2022Review
- ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY.Mass spectrometry reviews · 2022Review
- An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- MALDI-MSI Towards Multimodal Imaging: Challenges and Perspectives.Frontiers in chemistry · 2022Review
- Non-invasive molecular imaging of kidney diseases.Nature reviews. Nephrology · 2021Review
- The emergence of imaging mass spectrometry in drug discovery and development: Making a difference by driving decision making.Journal of mass spectrometry : JMS · 2021Article
- M2aia-Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data.GigaScience · 2021Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
Multimodal integration between mass spectrometry imaging (MSI) and radiology-established modalities such as magnetic resonance imaging (MRI) would allow the investigations of key questions in complex biological systems such as the central nervous system. Such integration would provide complementary multiscale data to bridge the gap between molecular and anatomical phenotypes, potentially revealing new insights into molecular mechanisms underlying anatomical pathologies presented on MRI. Automatic coregistration between 3D MSI/MRI is a computationally challenging process due to dimensional complexity, MSI data sparsity, lack of direct spatial-correspondences, and nonlinear tissue deformation. Here, we present a new computational approach based on stochastic neighbor embedding to nonlinearly align 3D MSI to MRI data, identify and reconstruct biologically relevant molecular patterns in 3D, and fuse the MSI datacube to the MRI space. We demonstrate our method using multimodal high-spectral resolution matrix-assisted laser desorption ionization (MALDI) 9.4 T MSI and 7 T in vivo MRI data, acquired from a patient-derived, xenograft mouse brain model of glioblastoma following administration of the EGFR inhibitor drug of Erlotinib. Results show the distribution of some identified molecular ions of the EGFR inhibitor erlotinib, a phosphatidylcholine lipid, and cholesterol, which were reconstructed in 3D and mapped to the MRI space. The registration quality was evaluated on two normal mouse brains using the Dice coefficient for the regions of brainstem, hippocampus, and cortex. The method is generic and can therefore be applied to hyperspectral images from different mass spectrometers and integrated with other established in vivo imaging modalities such as computed tomography (CT) and positron emission tomography (PET).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.