Repeatability of magnetic resonance fingerprinting T1 and T2 estimates assessed using the ISMRM/NIST MRI system phantom

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Abstract

<div class="section"> <a class="named-anchor" id="S1">  </a> <h5 class="section-title" id="d3239921e155">Purpose</h5> <p id="P1">The purpose of this study was to evaluate accuracy and repeatability of T <sub>1</sub> and T <sub>2</sub> estimates of a Magnetic Resonance Fingerprinting (MRF) method using the ISMRM/NIST MRI system phantom. </p> </div><div class="section"> <a class="named-anchor" id="S2">  </a> <h5 class="section-title" id="d3239921e166">Methods</h5> <p id="P2">The ISMRM/NIST MRI system phantom contains multiple compartments with standardized T <sub>1</sub>, T <sub>2</sub> and proton density values. Conventional inversion-recovery spin echo and spin echo methods were used to characterize the T <sub>1</sub> and T <sub>2</sub> values in the phantom. The phantom was scanned using the MRF-FISP method over 34 consecutive days. The mean T <sub>1</sub> and T <sub>2</sub> values were compared to the values from the spin echo methods. The repeatability was characterized as the coefficient of variation (CV) of the measurements over 34 days. </p> </div><div class="section"> <a class="named-anchor" id="S3">  </a> <h5 class="section-title" id="d3239921e190">Results</h5> <p id="P3">T <sub>1</sub> and T <sub>2</sub> values from MRF-FISP over 34 days showed a strong linear correlation with the measurements from the spin echo methods (R <sup>2</sup> = 0.999 for T <sub>1</sub>, R <sup>2</sup> = 0.996 for T <sub>2</sub>). The MRF estimates over the wide ranges of T <sub>1</sub> and T <sub>2</sub> values have less than 5% variation, except for the shortest T <sub>2</sub> relaxation times where the method still maintains less than 8% variation. </p> </div><div class="section"> <a class="named-anchor" id="S4">  </a> <h5 class="section-title" id="d3239921e223">Conclusion</h5> <p id="P4">MRF measurements of T <sub>1</sub> and T <sub>2</sub> are highly repeatable over time and across wide ranges of T <sub>1</sub> and T <sub>2</sub> values. </p> </div>

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Most cited references 24

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Magnetic Resonance Fingerprinting

Dan Ma, Vikas Gulani, Nicole Seiberlich … (2013)

Summary Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the non-invasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.

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Nonuniform fast fourier transforms using min-max interpolation

J.A. Fessler, B.P. Sutton (2003)

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Adaptive reconstruction of phased array MR imagery

David O Walsh, Arthur Gmitro, Michael Marcellin (2000)

An adaptive implementation of the spatial matched filter and its application to the reconstruction of phased array MR imagery is described. Locally relevant array correlation statistics for the NMR signal and noise processes are derived directly from the set of complex individual coil images, in the form of sample correlation matrices. Eigen-analysis yields an optimal filter vector for the estimated signal and noise array correlation statistics. The technique enables near-optimal reconstruction of multicoil MR imagery without a-priori knowledge of the individual coil field maps or noise correlation structure. Experimental results indicate SNR performance approaching that of the optimal matched filter. Compared to the sum-of-squares technique, the RMS noise level in dark image regions is reduced by as much as the square root of N, where N is the number of coils in the array. The technique is also effective in suppressing localized motion and flow artifacts. Copyright 2000 Wiley-Liss, Inc.