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Assessment of intravoxel incoherent motion MRI with an artificial capillary network: analysis of biexponential and phase‐distribution models
Author(s) -
Schneider Moritz Jörg,
Gaass Thomas,
Ricke Jens,
Dinkel Julien,
Dietrich Olaf
Publication year - 2019
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.27816
Subject(s) - intravoxel incoherent motion , capillary action , imaging phantom , flow (mathematics) , diffusion , biomedical engineering , phase (matter) , materials science , chemistry , nuclear magnetic resonance , diffusion mri , mechanics , physics , magnetic resonance imaging , optics , thermodynamics , medicine , organic chemistry , composite material , radiology
Purpose To systematically analyze intravoxel incoherent motion (IVIM) MRI in a perfusable capillary phantom closely matching the geometry of capillary beds in vivo and to compare the validity of the biexponential pseudo‐diffusion and the recently introduced phase‐distribution IVIM model. Methods IVIM‐MRI was performed at 12 different flow rates ( 0.2 ⋯ 2.4 m L / min ) in a capillary phantom using 4 different DW‐MRI sequences (2 with monopolar and 2 with flow‐compensated diffusion‐gradient schemes, with up to 16b values between 0 and 800 s / mm 2 ). Resulting parameters from the assessed IVIM models were compared to results from optical microscopy. Results The acquired data were best described by a static and a flowing compartment modeled by the phase‐distribution approach. The estimated signal fraction f of the flowing compartment stayed approximately constant over the applied flow rates, with an average of f = 0.451 ± 0.023 in excellent agreement with optical microscopy ( f = 0.454 ± 0.002 ). The estimated average particle flow speeds v = 0.25 ⋯ 2.7mm / s showed a highly significant linear correlation to the applied flow. The estimated capillary segment length of approximately 189 u m agreed well with optical microscopy measurements. Using the biexponential model, the signal fraction f was substantially underestimated and displayed a strong dependence on the applied flow rate. Conclusion The constructed phantom facilitated the detailed investigation of IVIM‐MRI methods. The results demonstrate that the phase‐distribution method is capable of accurately characterizing fluid flow inside a capillary network. Parameters estimated using the biexponential model, specifically the perfusion fraction f , showed a substantial bias because the model assumptions were not met by the underlying flow pattern.