ArticleNeuroinformatics2019
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis.
Article in Neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Associations of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Associations of physical fitness with brain structure, pathology and cognition in cognitively normal older adults.npj aging · 2026Article
- A Methodology to Measure Glucose Metabolism by Quantitative Analysis of PET Images.Journal of healthcare informatics research · 2024Article
- Assessment of [European journal of nuclear medicine and molecular imaging · 2024Article
- Imaging Neuroinflammation: Quantification of Astrocytosis in a Multitracer PET Approach.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Progressive Supranuclear Palsy: Subcortical Tau Depositions Are Associated with Cortical Perfusion in Frontal and Limbic Regions.Journal of Parkinson's disease · 2024Article
- In Vivo Measurement of Tau Depositions in Anti-IgLON5 Disease Using [18F]PI-2620 PET.Neurology · 2023Article
- Tracking reactive astrogliosis in autosomal dominant and sporadic Alzheimer's disease with multi-modal PET and plasma GFAP.Molecular neurodegeneration · 2023Article
- NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data.Neuroinformatics · 2023Article
- Frontostriatothalamic effective connectivity and dopaminergic function in the psychosis continuum.Brain : a journal of neurology · 2023Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kinetic modeling is at the basis of most quantification methods for dynamic PET data. Specific software is required for it, and a free and easy-to-use kinetic analysis toolbox can facilitate routine work for clinical research. The relevance of kinetic modeling for neuroimaging encourages its incorporation into image processing pipelines like those of SPM, also providing preprocessing flexibility to match the needs of users. The aim of this work was to develop such a toolbox: QModeling. It implements four widely-used reference-region models: Simplified Reference Tissue Model (SRTM), Simplified Reference Tissue Model 2 (SRTM2), Patlak Reference and Logan Reference. A preliminary validation was also performed: The obtained parameters were compared with the gold standard provided by PMOD, the most commonly-used software in this field. Execution speed was also compared, for time-activity curve (TAC) estimation, model fitting and image generation. QModeling has a simple interface, which guides the user through the analysis: Loading data, obtaining TACs, preprocessing the model for pre-evaluation, generating parametric images and visualizing them. Relative differences between QModeling and PMOD in the parameter values are almost always below 10
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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.