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.

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Title: 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.
Authors: Larsson HBW; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark. Henrik.bo.wiberg.larsson@regionh.dk.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. Henrik.bo.wiberg.larsson@regionh.dk., Cramer SP; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark., Tireli ED; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark., Larsson TSW; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark., Lindberg U; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark., Vestergaard MB; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Copenhagen, Denmark.
Source: EJNMMI physics [EJNMMI Phys] 2026 May 13; Vol. 13 (1). Date of Electronic Publication: 2026 May 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag, GmbH Country of Publication: Germany NLM ID: 101658952 Publication Model: Electronic Cited Medium: Print ISSN: 2197-7364 (Print) Linking ISSN: 21977364 NLM ISO Abbreviation: EJNMMI Phys Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2197-7364
DOI:10.1186/s40658-026-00886-0