Evidence map›Paper›PMID 41622737›Full record

ArticleMagnetic resonance in medicine2026

Toward Optimized Intravoxel Incoherent Motion (IVIM) and Compartmental T2 Mapping in Abdominal Organs.

Julia Stabinska, Thomas A Thiel, Hans-Jörg Wittsack, Alexandra Ljimani, Helge J Zöllner

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Article in Magnetic resonance in medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Julia StabinskaF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Thomas A ThielMedical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, Dusseldorf, Germany.
Hans-Jörg WittsackMedical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, Dusseldorf, Germany.ORCID 0000-0002-5830-423X
Alexandra LjimaniMedical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, Dusseldorf, Germany.ORCID 0000-0002-9748-9927
Helge J ZöllnerDivision of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Brain metabolism across the lifespan using multi-parametric MRSK99AG080084 · NIA · JOHNS HOPKINS UNIVERSITY · PI ZOELLNER, HELGE JOERN · 2023 to 2024
$212k
Noninvasive assessment of renal fibrosis in kidney transplant recipients bymulti-contrast magnetic resonance imagingK99DK138294 · NIDDK · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Julia Stabinska · 2025 to 2026
$177k
Deutsche Forschungsgemeinschaft 408765040Deutsche Forschungsgemeinschaft 497764939NIA NIH HHS K99 AG080084NIDDK NIH HHS K99 DK138294NIH HHS K99 AG080084NIH HHS K99 DK138294
6 · The paper itself

Abstract

purposeTo quantitatively assess the bias in the intravoxel incoherent motions (IVIM)-derived pseudo-diffusion volume fraction (f) caused by the differences in relaxation times between the tissue and fluid compartments, and to develop a two-dimensional (b-value-TE) fitting approach for simultaneous T2 and IVIM parameter estimation along with an optimal acquisition protocol for the relaxation-compensated T2-IVIM imaging in the liver.

methodsSimulations were conducted to investigate the TR- and TE-dependent bias in f when using the IVIM model, and to evaluate the applicability of the 2D T2-IVIM model for reducing this bias. The numerical findings were then validated using the in vivo IVIM data from four healthy volunteers on a 3-Tesla MRI scanner. Finally, a numerical framework for optimizing the T2-IVIM protocol for relaxation-compensated f parameter estimation was proposed and tested using the in vivo data.

resultsIn vivo, the traditional IVIM model showed a trend toward higher f with increasing TE in the liver (R = 0.46, p = 0.023), but not in the kidney cortex (R = -0.067, p = 0.76) or medulla (R = 0.039, p = 0.86). In both simulations and in vivo, 2D T2-IVIM modeling yielded lower f values and reduced variability in the liver. Our results further suggest that a b-TE protocol with six b-values and three TEs (50, 60, and 100 ms) may be optimal for liver T2-IVIM.

conclusionThe extended 2D T2-IVIM model effectively minimizes the TE-dependent bias in f and allows simultaneous estimation of the IVIM parameter and compartmental T2 values in abdominal organs.

Indexed as

AbdomenImage Processing, Computer-AssistedKidneyLiverMagnetic Resonance ImagingAdultAlgorithmsComputer SimulationFemaleHealthy VolunteersHumansImage Interpretation, Computer-AssistedMaleMotionReproducibility of Resultsintravoxel incoherent motionIVIMliverperfusion fractionT2‐IVIM

Identifiers

PMID41622737
PMCPMC12922574

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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.