R 1 dispersion contrast at high field with fast field-cycling MRI

Bödenler, Markus; Basini, Martina; Casula, Maria Francesca; Umut, Evrim; Gösweiner, Christian; Petrovic, Andreas; Kruk, Danuta; Scharfetter, Hermann

doi:10.1016/j.jmr.2018.03.010

Cited by 16 publications

(38 citation statements)

References 20 publications

(54 reference statements)

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“…[13] The hydrophobic moieties of the Gd 3 + complex promotei nteraction with HSA, which generate af ield-dependent relaxometricr esponse to Zn 2 + at physiological HSA concentrationa s illustrated in Figure 2. For FFC-MRI, the hardware was realized by meanso fa na dditional B 0 insert coil synchronized with ac linical MRI system with amain magnetic field strength B 0 of 2.89 T. [14] The field-cycling hardware is capable of generating offset fields DB 0 of AE 100 mT within am inimum ramp time of 1ms. The Zn 2 + response is maximal at 0.7-1 Tw ith ar elaxivity increase of about 25 % upon Zn 2 + -binding.…”

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confidence: 99%

“…In contrast, at 9.4 T, aroughly30% relaxivity decrease is obtained, while around 3T ,t he response vanishes as the two NMRD profiles crosse ach other.I na ccordance with theser esults, no visible difference in R 1 can be observed in response to increasingZ n 2 + concentration in solutionso f GdL and HSA, by using standard MRI methods at 3T (Figure 3b). For FFC-MRI, the hardware was realized by meanso fa na dditional B 0 insert coil synchronized with ac linical MRI system with amain magnetic field strength B 0 of 2.89 T. [14] The field-cycling hardware is capable of generating offset fields DB 0 of AE 100 mT within am inimum ramp time of 1ms. Imagesw ere acquired at three different evolution fields (2.79, 2.89, and 2.99 T) using as aturation prepared spin echo sequence, where B 0 was rampedt ot he desired field-shift for ad uration T evol between the preparation pulse and image acquisition.…”

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High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Bödenler

Malikidogo

Aigner

et al. 2019

Chemistry A European J

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Many smart magnetic resonance imaging (MRI) probes provide response to a biomarker based on modulation of their rotational correlation time. The magnitude of such MRI signal changes is highly dependent on the magnetic field and the response decreases dramatically at high fields (>2 T). To overcome the loss of efficiency of responsive probes at high field, with fast‐field cycling magnetic resonance imaging (FFC‐MRI) we exploit field‐dependent information rather than the absolute difference in the relaxation rate measured in the absence and in the presence of the biomarker at a given imaging field. We report here the application of fast field‐cycling techniques combined with the use of a molecular probe for the detection of Zn 2+ to achieve 166 % MRI signal enhancement at 3 T, whereas the same agent provides no detectable response using conventional MRI. This approach can be generalized to any biomarker provided the detection is based on variation of the rotational motion of the probe.

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High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Bödenler

Malikidogo

Aigner

et al. 2019

Chemistry A European J

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“…When it comes to an application of the presented method, we would like to mention that the tool can support ongoing research on MRI contrast agents based on the QRE effect [2,15,25] which is especially suitable for FFC-MRI systems [24]. Of course, the requirements and conditions for a particle acting as MRI contrast agent in biological tissue are rather complex and not straightforward to fulfil.…”

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confidence: 99%

“…Lurie et al [20] have utilised this effect for magnetic resonance imaging (MRI) and could demonstrate a contrast enhancement in T 1 = 1/R 1 weighted images using a special field cycling MRI systems at low magnetic field strengths ( < 200 mT). Field cycling MRI has also been successfully demonstrated at clinical field strengths of 1.5 T [21-23] and 3 T [24]. Recently, strong and pronounced QRE peaks have been observed in NMRD measurements of different Bi-aryl compounds [2].…”

Section: Introductionmentioning

confidence: 99%

Predicting quadrupole relaxation enhancement peaks in proton R₁-NMRD profiles in solid Bi-aryl compounds from NQR parameters

Gösweiner¹,

Kruk

Umut

et al. 2018

Molecular Physics

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We propose a simple method to calculate and predict quadrupole relaxation enhancement (QRE) features in the spin-lattice nuclear magnetic relaxation dispersion (R 1 -NMRD) profile of protons ( 1 H) in solids. The only requirement is the knowledge of the nuclear quadrupole resonance (NQR) parameters of the quadrupole nuclei in a molecule. These NQR parameters -the quadrupole coupling constant Q cc and the asymmetry parameter η -can be determined by NQR spectroscopy or using quantum chemistry calculations. As there is an increasing interest in using molecules producing high field QRE features as, e.g. for contrast enhancing agents in magnetic resonance imaging, the experimental efforts of seeking for suitable compounds can be reduced by pre-selecting molecules via calculations. Also, the method can be used to extract NQR parameter, and thus structural information, from R 1 -NMRD profiles showing QRE features. In this article, we describe the calculation procedure and present examples of comparing the result to experimental R 1 -NMRD data of two different solid 209 Bi-aryl compounds. ARTICLE HISTORY

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“…medicine if combined with MRI and much efforts are dedicated to create FFC-MRI scanners [11][12][13][14][15].…”

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Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives

et al. 2018

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Fast field-cycling (FFC) nuclear magnetic resonance relaxometry is a well-established method to determine the relaxation rates as a function of magnetic field strength. This so-called nuclear magnetic relaxation dispersion gives insight into the underlying molecular dynamics of a wide range of complex systems and has gained interest especially in the characterisation of biological tissues and diseases. The combination of FFC techniques with magnetic resonance imaging (MRI) offers a high potential for new types of image contrast more specific to pathological molecular dynamics. This article reviews the progress in FFC-MRI over the last decade and gives an overview of the hardware systems currently in operation. We discuss limitations and error correction strategies specific to FFC-MRI such as field stability and homogeneity, signal-to-noise ratio, eddy currents and acquisition time. We also report potential applications with impact in biology and medicine. Finally, we discuss the challenges and future applications in transferring the underlying molecular dynamics into novel types of image contrast by exploiting the dispersive properties of biological tissue or MRI contrast agents. ARTICLE HISTORY KEYWORDS Field-cycling; FFC-MRI; delta relaxation enhanced MR; dispersion; NMRDCONTACT Markus Bödenler m.boedenler@tugraz.at * These authors have equally contributed to this work. of the scanner. Differences in the underlying relaxation behaviour at B 0 , and therefore changes in image contrast, can be used to distinguish between healthy and pathological tissues for many diseases [1]. However, contrast mechanisms may change dramatically with the applied magnetic field strength, and these changes can be exploited to obtain new information for medical diagnosis. One way to access field-dependant information is by using Fast Field-Cycling (FFC) methods.FFC Nuclear Magnetic Resonance (NMR) relaxometry is an established method to measure the changes

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R 1 dispersion contrast at high field with fast field-cycling MRI

Cited by 16 publications

References 20 publications

High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Predicting quadrupole relaxation enhancement peaks in proton R₁-NMRD profiles in solid Bi-aryl compounds from NQR parameters

Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives

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R 1 dispersion contrast at high field with fast field-cycling MRI

Cited by 16 publications

References 20 publications

High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Predicting quadrupole relaxation enhancement peaks in proton R1-NMRD profiles in solid Bi-aryl compounds from NQR parameters

Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives

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Predicting quadrupole relaxation enhancement peaks in proton R₁-NMRD profiles in solid Bi-aryl compounds from NQR parameters