A correction for modeling of radial, spiral, and PROPELLOR DCE data: time-averaged extended Tofts

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Bibliographic Details
Title: A correction for modeling of radial, spiral, and PROPELLOR DCE data: time-averaged extended Tofts
Authors: Natalia Korobova, Marian Troelstra, Oliver Gurney-Champion
Source: ISMRM Annual Meeting.
Publisher Information: ISMRM, 2024.
Publication Year: 2024
Description: Motivation: Accurate quantification of pharmacokinetic parameters in dynamic contrast-enhanced (DCE) MRI requires high temporal resolution, often reached through non-cartesian sampling patterns that oversample the center of k-space (e.g. radial, spiral, PROPELLOR). In pharmacokinetic models, image contrast is assumed to be formed instantly at discrete time-points. However, in acquisitions oversampling the k-space center, the signal per time-frame becomes an average over acquisition time. Goal(s): To correct for the time-averaged signals. Approach: We proposed a modification to DCE modeling and tested it in simulations and in-vivo. Results: Modern sampling patterns predominantly affect the pharmacokinetic parameter estimates for longer sampling times (>8s) per DCE frame. Impact: We verified that for short acquisitions per frame (8s) per DCE frame, our time-averaged extended Toft's model is needed for accurate estimations of pharmacokinetic parameters.
Document Type: Article
ISSN: 1545-4428
DOI: 10.58530/2024/1045
Accession Number: edsair.doi...........9a9bb86aade3eb281109b7075ecf26ca
Database: OpenAIRE
Description
Abstract:Motivation: Accurate quantification of pharmacokinetic parameters in dynamic contrast-enhanced (DCE) MRI requires high temporal resolution, often reached through non-cartesian sampling patterns that oversample the center of k-space (e.g. radial, spiral, PROPELLOR). In pharmacokinetic models, image contrast is assumed to be formed instantly at discrete time-points. However, in acquisitions oversampling the k-space center, the signal per time-frame becomes an average over acquisition time. Goal(s): To correct for the time-averaged signals. Approach: We proposed a modification to DCE modeling and tested it in simulations and in-vivo. Results: Modern sampling patterns predominantly affect the pharmacokinetic parameter estimates for longer sampling times (>8s) per DCE frame. Impact: We verified that for short acquisitions per frame (8s) per DCE frame, our time-averaged extended Toft's model is needed for accurate estimations of pharmacokinetic parameters.
ISSN:15454428
DOI:10.58530/2024/1045