ArticleEJNMMI physics2026
Quantifying capillary transit time distribution: a novel tracer kinetic model accounting for leakiness, back diffusion, and perfusion in MRI and PET imaging-the outflow model.
Article in EJNMMI physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundBrain blood perfusion is typically characterized through regional cerebral blood flow metrics. However, recent research demonstrates that the distribution of blood transit times through the capillary network also plays a significant role in physiological processes. Here, we introduce a novel kinetic model, called the Outflow model, to quantify this distribution and calculate capillary transit time heterogeneity. The model is tailored to account for transport across the blood‒brain barrier and tissue-binding and is applicable for both for Magnetic Resonance Imaging and Positron emission Tomography scenarios. The model was employed across three methodologies: (1) contrast-enhanced T1-weighted Magnetic Resonance Imaging; (2) dynamic long axial field-of-view Positron Emission Tomography imaging using the radiotracers O-(2-[
resultsFor Magnetic Resonance Imaging, the capillary transit time heterogeneity ranged from 0.5 to 1 s, the extraction fraction ranged from 0.03 to 0.07%, and the unidirectional influx constant ranged from 0.01 to 0.2 ml/min/100 ml. For O-(2-[
conclusionThis proof-of-concept study demonstrated that calculating capillary transit time heterogeneity in the brain via the proposed new tracer kinetic model is feasible for both MRI and PET data. The model adeptly addresses scenarios where tracers or contrast agents undergo bidirectional transport across the BBB.
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