ArticleMolecular imaging and biology2015
A deformable atlas of the laboratory mouse.
Article in Molecular imaging and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- A preclinical CT and MRI Liver Imaging Dataset with Anatomical, Functional and Segmentation Data.Scientific data · 2026Article
- Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform.Inverse problems · 2024Article
- Bioluminescence tomography reconstruction in conjunction with an organ probability map as an anatomical reference.Biomedical optics express · 2022Article
- Deep learning-based segmentation of the thorax in mouse micro-CT scans.Scientific reports · 2022Article
- A preclinical micro-computed tomography database including 3D whole body organ segmentations.Scientific data · 2018Article
- Automated quantification of bioluminescence images.Nature communications · 2018Article
- Bioluminescence tomography with structural information estimated via statistical mouse atlas registration.Biomedical optics express · 2018Article
- Deformable torso phantoms of Chinese adults for personalized anatomy modelling.Journal of anatomy · 2018Article
- Metabolic profiling of follistatin overexpression: a novel therapeutic strategy for metabolic diseases.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018Article
- Estimation of subject coregistration errors during multimodal preclinical imaging using separate instruments: origins and avoidance of artifacts.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- A Novel Mouse Segmentation Method Based on Dynamic Contrast Enhanced Micro-CT Images.PloS one · 2017Article
- Noninvasive Assessment of Elimination and Retention using CT-FMT and Kinetic Whole-body Modeling.Theranostics · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeThis paper presents a deformable mouse atlas of the laboratory mouse anatomy. This atlas is fully articulated and can be positioned into arbitrary body poses. The atlas can also adapt body weight by changing body length and fat amount. PROCEDURES: A training set of 103 micro-CT images was used to construct the atlas. A cage-based deformation method was applied to realize the articulated pose change. The weight-related body deformation was learned from the training set using a linear regression method. A conditional Gaussian model and thin-plate spline mapping were used to deform the internal organs following the changes of pose and weight.
resultsThe atlas was deformed into different body poses and weights, and the deformation results were more realistic compared to the results achieved with other mouse atlases. The organ weights of this atlas matched well with the measurements of real mouse organ weights. This atlas can also be converted into voxelized images with labeled organs, pseudo CT images and tetrahedral mesh for phantom studies.
conclusionsWith the unique ability of articulated pose and weight changes, the deformable laboratory mouse atlas can become a valuable tool for preclinical image analysis.
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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.