ArticleBMC medical imaging2016
An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited.
Article in BMC medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A groupwise multiresolution network for DCE-MRI image registration.Scientific reports · 2025Article
- Motion-compensated image reconstruction for improved kidney function assessment using dynamic contrast-enhanced MRI.NMR in biomedicine · 2024Article
- Long-term evaluation of uterine fibroid embolisation using MRI perfusion parameters and patient questionnaires: preliminary results.BMC medical imaging · 2022Article
- Hyperpolarized [1-Experimental physiology · 2021Article
- Dynamic Contrast Enhancement (DCE) MRI-Derived Renal Perfusion and Filtration: Basic Concepts.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Dynamic Contrast Enhanced (DCE) MRI-Derived Renal Perfusion and Filtration: Experimental Protocol.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Analysis Protocol for Dynamic Contrast Enhanced (DCE) MRI of Renal Perfusion and Filtration.Methods in molecular biology (Clifton, N.J.) · 2021Article
- MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI.BMC bioinformatics · 2019Article
- Variability and Reproducibility of 3Scientific reports · 2018Article
- The impact of injector-based contrast agent administration in time-resolved MRA.European radiology · 2018Article
- Multiparametric MRI for organ quality assessment in a porcine Ex-Vivo lung perfusion system.PloS one · 2018Article
- Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer.Scientific reports · 2017Article
- Automating Perforator Flap MRA and CTA Reporting.Journal of digital imaging · 2017Article
- Color-coded visualization of magnetic resonance imaging multiparametric maps.Scientific reports · 2017Article
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Authors and funding
6 authors.
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Abstract
backgroundPerfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in this field, perfusion imaging still remains a research tool without a broad clinical usage. One problem is the lack of standardization in technical aspects which have to be considered for successful quantitative evaluation; the second problem is a lack of tools that allow a direct integration into the diagnostic workflow in radiology.
resultsFive compartment models, namely, a one compartment model (1CP), a two compartment exchange (2CXM), a two compartment uptake model (2CUM), a two compartment filtration model (2FM) and eventually the extended Toft's model (ETM) were implemented as plugin for the DICOM workstation OsiriX. Moreover, the plugin has a clean graphical user interface and provides means for quality management during the perfusion data analysis. Based on reference test data, the implementation was validated against a reference implementation. No differences were found in the calculated parameters.
conclusionWe developed open source software to analyse DCE-MRI perfusion data. The software is designed as plugin for the DICOM Workstation OsiriX. It features a clean GUI and provides a simple workflow for data analysis while it could also be seen as a toolbox providing an implementation of several recent compartment models to be applied in research tasks. Integration into the infrastructure of a radiology department is given via OsiriX. Results can be saved automatically and reports generated automatically during data analysis ensure certain quality control.
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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.