2018
DOI: 10.1002/mrm.27345
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Fast magnetic resonance fingerprinting for dynamic contrast‐enhanced studies in mice

Abstract: Magnetic resonance fingerprinting provides the opportunity for dynamic quantification of contrast agent distribution in preclinical tumor models on high-field MRI scanners.

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Cited by 20 publications
(22 citation statements)
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“…In this work, MRF signal was acquired with traditional k‐space sampling. While more k‐space samplings after signal excitation can further reduce the scanning time, TR would be longer for the lengthened k‐space sampling window . The transient steady‐state free precession (SSFP) signal in MRF is sensitive to MT effect, especially with short TR, and MRF signal is usually acquired with TR as short as possible for significant acquisition time reduction .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this work, MRF signal was acquired with traditional k‐space sampling. While more k‐space samplings after signal excitation can further reduce the scanning time, TR would be longer for the lengthened k‐space sampling window . The transient steady‐state free precession (SSFP) signal in MRF is sensitive to MT effect, especially with short TR, and MRF signal is usually acquired with TR as short as possible for significant acquisition time reduction .…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the effect of magnetization‐preparation in MRF was analyzed. In previous relaxation measurements with MRF, an inversion pulse was usually applied before a train of fast imaging with variable FAs and TR delays . With inversion‐recovery (IR) preparation, the recovery signal is susceptible to MT and the measured T 1 depends on the inversion time, while the saturation‐recovery (SR)‐prepared acquisition produces more accurate measurements than the IR‐prepared repetitive acquisition .…”
Section: Introductionmentioning
confidence: 99%
“…MRF can acquire quantitative maps with sufficiently high spatial and temporal resolution to use advanced kinetic models that better characterize tissue. Gu et al assessed DCE‐based MRF (both SSFP and bSSFP implementations) at 7T. The phantom was used to validate data undersampling up to a factor of eight without loss of accuracy, which enabled 2‐minute temporal resolution in mouse brains.…”
Section: Technique Development For Clinical Applicationsmentioning
confidence: 99%
“…For this initial in vivo study, the DC-MRF methodology was used to simultaneously detect a gadolinium chelate (Gd-BOPTA) and a dysprosium chelate (Dy-DOTA-azide) in a mouse glioma model. These two contrast agents were selected on the basis of the following rationale: (1) both agents have been previously studied in animal models 15,16 ; (2) both agents have similar molecular weights and should therefore be expected to have similar tumor pharmacokinetics 15 ; and (3) these two contrast agents have different magnetic relaxivity ratios (r 2 /r 1 , Supplementary Fig. 1) enabling the multi-agent relaxation model (Eqs.…”
Section: Resultsmentioning
confidence: 99%
“…2a and 2b to be solved analytically. Further, the advantage of the MRF acquisition itself is that it has already been shown to provide simultaneous and repeatable measurements of T 1 and T 2 relaxation time constants in non-contrast studies on both animal 15,2527 and human MRI scanners 2831 spanning a wide range of field strengths with improved precision and temporal efficiency in comparison to conventional quantitative MRI techniques. MRF has also shown the ability to measure numerous MRI tissue properties beyond T 1 and T 2 3236 .…”
Section: Discussionmentioning
confidence: 99%