ArticlePloS one2017
A concept for holistic whole body MRI data analysis, Imiomics.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 62 citations in OpenAlex.
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- Causal effects of obesity on estimated glomerular filtration rate: a Mendelian randomization and image data analysis study.Clinical kidney journal · 2025Article
- Using UK Biobank data to establish population-specific atlases from whole body MRI.Communications medicine · 2024Article
- A detailed analysis of body composition in relation to cardiopulmonary exercise test indices.Scientific reports · 2024Article
- Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies.Biomedical engineering online · 2024Article
- A whole-body diffusion MRI normal atlas: development, evaluation and initial use.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- An image registration method for voxel-wise analysis of whole-body oncological PET-CT.Scientific reports · 2022Article
- Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients.Scientific reports · 2022Article
- Radiovesicolomics-new approach in medical imaging.Frontiers in physiology · 2022Review
- Atlas construction and spatial normalisation to facilitate radiation-induced late effects research in childhood cancer.Physics in medicine and biology · 2021Article
- Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique.Cytokine: X · 2021Article
- Article
- Faster dense deformable image registration by utilizing both CPU and GPU.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Integration of whole-body [Scientific reports · 2020Observational
- Validation of automated whole-body analysis of metabolic and morphological parameters from an integrated FDG-PET/MRI acquisition.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo present and evaluate a whole-body image analysis concept, Imiomics (imaging-omics) and an image registration method that enables Imiomics analyses by deforming all image data to a common coordinate system, so that the information in each voxel can be compared between persons or within a person over time and integrated with non-imaging data.
methodsThe presented image registration method utilizes relative elasticity constraints of different tissue obtained from whole-body water-fat MRI. The registration method is evaluated by inverse consistency and Dice coefficients and the Imiomics concept is evaluated by example analyses of importance for metabolic research using non-imaging parameters where we know what to expect. The example analyses include whole body imaging atlas creation, anomaly detection, and cross-sectional and longitudinal analysis.
resultsThe image registration method evaluation on 128 subjects shows low inverse consistency errors and high Dice coefficients. Also, the statistical atlas with fat content intensity values shows low standard deviation values, indicating successful deformations to the common coordinate system. The example analyses show expected associations and correlations which agree with explicit measurements, and thereby illustrate the usefulness of the proposed Imiomics concept.
conclusionsThe registration method is well-suited for Imiomics analyses, which enable analyses of relationships to non-imaging data, e.g. clinical data, in new types of holistic targeted and untargeted big-data analysis.
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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.