ArticleMagnetic resonance in medicine2019
Optimal mass transport kinetic modeling for head and neck DCE-MRI: Initial analysis.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Current status in spatiotemporal analysis of contrast-based perfusion MRI.Magnetic resonance in medicine · 2024Review
- Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Magnetic Resonance Imaging and Modeling of the Glymphatic System.Diagnostics (Basel, Switzerland) · 2020Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
purposeCurrent state-of-the-art models for estimating the pharmacokinetic parameters do not account for intervoxel movement of the contrast agent (CA). We introduce an optimal mass transport (OMT) formulation that naturally handles intervoxel CA movement and distinguishes between advective and diffusive flows.
methodTen patients with head and neck squamous cell carcinoma (HNSCC) were enrolled in the study between June 2014 and October 2015 and underwent DCE MRI imaging prior to beginning treatment. The CA tissue concentration information was taken as the input in the data-driven OMT model. The OMT approach was tested on HNSCC DCE data that provides quantitative information for forward flux (
resultsThe OMT-derived flows showed a consistent jump in the CA diffusive behavior across the images in accordance with the known CA dynamics. The mean forward flux was 0.0082 ± 0.0091 (
conclusionsThis is a novel data-driven study based on optimal mass transport principles applied to patient DCE imaging to analyze CA flow in HNSCC.
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