ReviewJournal of digital imaging2017
Survey of Non-Rigid Registration Tools in Medicine.
Review in Journal of digital imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Volume-inflation registration (INFREG) for morphometric analysis of human focal cortical dysplasia type II.iScience · 2026Article
- Transferring thrombus labels from CTPA to non-contrast CT via accurate pulmonary vessel registration: a critical step toward AI-based pulmonary embolism detection.Quantitative imaging in medicine and surgery · 2026Article
- CT-Based Pericardial Composition Change as an Imaging Biomarker for Radiation-Induced Cardiotoxicity.Cancers · 2025Article
- Optimizing spatial normalization of multisubject inner ear MRI: comparison of different geometry-preserving co-registration approaches.Scientific reports · 2025Article
- Comparison of consecutive and restained sections for image registration in histopathology.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Non-Rigid Registration for High-Resolution Retinal Imaging.Diagnostics (Basel, Switzerland) · 2023Article
- An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients.Frontiers in oncology · 2023Article
- Serial intravital 2-photon microscopy and analysis of the kidney using upright microscopes.Frontiers in physiology · 2023Article
- Article
- Collection and Reporting of Patient-reported Outcome Measures in Arthroplasty Registries: Multinational Survey and Recommendations.Clinical orthopaedics and related research · 2021Article
- CT-Based Pelvic TFrontiers in oncology · 2021Article
- Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging.European journal of nuclear medicine and molecular imaging · 2021Article
- A Baboon Brain Atlas for Magnetic Resonance Imaging and Positron Emission Tomography Image Analysis.Frontiers in neuroanatomy · 2021Article
- Rigid Shape Registration Based on Extended Hamiltonian Learning.Entropy (Basel, Switzerland) · 2020Article
- Non-rigid image registration of 4D-MRI data for improved delineation of moving tumors.BMC medical imaging · 2020Article
- Deep learning applied to hyperspectral endoscopy for online spectral classification.Scientific reports · 2020Article
- Anatomical brain structures normalization for deep brain stimulation in movement disorders.NeuroImage. Clinical · 2020Article
- Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019Article
- Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2018Article
- Normalizing brain activity across individuals using functional reference mapping.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We catalogue available software solutions for non-rigid image registration to support scientists in selecting suitable tools for specific medical registration purposes. Registration tools were identified using non-systematic search in Pubmed, Web of Science, IEEE Xplore® Digital Library, Google Scholar, and through references in identified sources (n = 22). Exclusions are due to unavailability or inappropriateness. The remaining (n = 18) tools were classified by (i) access and technology, (ii) interfaces and application, (iii) living community, (iv) supported file formats, and (v) types of registration methodologies emphasizing the similarity measures implemented. Out of the 18 tools, (i) 12 are open source, 8 are released under a permissive free license, which imposes the least restrictions on the use and further development of the tool, 8 provide graphical processing unit (GPU) support; (ii) 7 are built on software platforms, 5 were developed for brain image registration; (iii) 6 are under active development but only 3 have had their last update in 2015 or 2016; (iv) 16 support the Analyze format, while 7 file formats can be read with only one of the tools; and (v) 6 provide multiple registration methods and 6 provide landmark-based registration methods. Based on open source, licensing, GPU support, active community, several file formats, algorithms, and similarity measures, the tools Elastics and Plastimatch are chosen for the platform ITK and without platform requirements, respectively. Researchers in medical image analysis already have a large choice of registration tools freely available. However, the most recently published algorithms may not be included in the tools, yet.
Indexed as
Identifiers
What OpenQuestion holds
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.