ArticleBMC bioinformatics2013
DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data.
Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Deuterium metabolic imaging phenotypes mouse glioblastoma heterogeneity through glucose turnover kinetics.eLife · 2025Article
- ImmunoPET imaging of TIGIT in the glioma microenvironment.Scientific reports · 2024Article
- Therapeutic effect ofJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Endothelin-axis antagonism enhances tumor perfusion in pancreatic cancer.Cancer letters · 2022Article
- qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data.Scientific data · 2022Article
- Metal-Free Radical Dendrimers as MRI Contrast Agents for Glioblastoma Diagnosis:Biomacromolecules · 2022Article
- Influence of metabolic syndrome on post-stroke outcome, angiogenesis and vascular function in old rats determined by dynamic contrast enhanced MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations.Diagnostics (Basel, Switzerland) · 2021Review
- Analysis Protocol for Dynamic Contrast Enhanced (DCE) MRI of Renal Perfusion and Filtration.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Article
- In utero exposure to transient ischemia-hypoxemia promotes long-term neurodevelopmental abnormalities in male rat offspring.JCI insight · 2020Article
- Localized Blood-Brain Barrier Opening in Ovine Model Using Image-Guided Transcranial Focused Ultrasound.Ultrasound in medicine & biology · 2019Article
- 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
- MR imaging biomarkers evaluating vascular normalization window after anti-vessel treatment.Oncotarget · 2018Article
- Simultaneous measurement of TNMR in biomedicine · 2017Article
- An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited.BMC medical imaging · 2016Article
- ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies.BMC medical imaging · 2015Article
- Effect of acute hyperglycemia on moderately hypothermic GL261 mouse glioma monitored by T1-weighted DCE MRI.Magma (New York, N.Y.) · 2015Article
- Magnetic Resonance Imaging Allows the Evaluation of Tissue Damage and Regeneration in a Mouse Model of Critical Limb Ischemia.PloS one · 2015Article
- DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis.PeerJ · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity.
resultsPixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE@urLAB also includes the semi-quantitative parametric and heuristic analysis approaches commonly used in practice. This software application has been programmed in the Interactive Data Language (IDL) and tested both with publicly available simulated data and preclinical studies from tumor-bearing mouse brains.
conclusionsA user-friendly solution for applying pharmacokinetic and non-quantitative analysis DCE-MRI in preclinical studies has been implemented and tested. The proposed tool has been specially designed for easy selection of multi-pixel ROIs. A public release of DCE@urLAB, together with the open source code and sample datasets, is available at http://www.die.upm.es/im/archives/DCEurLAB/.
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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.