538 Magnetismus
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- Aushärtung (1)
- Einseitige Kernspinresonanz (1)
- Flow (1)
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- Herz (1)
- Klebstoff (1)
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Der Vernetzungsgrad von Klebstoffen und strahlenvernetzter Kunststoffformteile beeinflusst zahlreiche Materialeigenschaften und ist von essenzieller Bedeutung für die Funktionalität von Klebeverbindungen und die Beständigkeit medizinischer Implantate.
Die zerstörungsfreie Prüfung dieser Qualitätsgröße ist von großem industriellem Interesse, aber noch nicht Stand der Technik. Die unilaterale Kernspinresonanz (uNMR) ist ein vielversprechendes Verfahren zur Lösung dieser Problematik.
In diesem Buch wird die nicht-invasive Vernetzungsgradprüfung von strahlenvernetztem UHMWPE und verschiedenen Klebstoffen mittels uNMR demonstriert. Auf Basis der guten Korrelation mit praxisrelevanten Referenzmethoden (thermisch, rheologisch, dielektrisch) wurden Vergleichsmodelle entwickelt, welche Anwendern von Klebstoffen und vernetzten Kunststoffformteilen den Einsatz der uNMR zur zerstörungsfreien Qualitätssicherung ermöglichen.
In summary, the wave-CAIPI k-space trajectory presents an efficient sampling strategy for accelerated MR acquisitions. Using wave-CAIPI in parallel imaging reconstructions leads to a reduced noise level in the reconstructed images, compared to the Cartesian standard trajectory. This effect could be quantified by means of noise and SNR calculations. An SNR gain can be traded for a reduced scan time, i.e., additional undersampling, or for an enhanced image quality, keeping scan time constant.
Acceleration of MR imaging is especially important in dynamic applications, since these examinations are inherently time-consuming. The impact of wave-CAIPI sampling on image quality and its potential for scan time reduction was investigated for two dynamic applications: self-gated dynamic 3D lung MRI during free breathing and cardiac 4D flow MRI.
Dynamic 3D Lung MRI
By employing wave-CAIPI sampling in self-gated, free-breathing dynamic 3D lung MRI for the purpose of radiotherapy treatment planning, the image quality of accelerated scans could be enhanced. Volunteer examinations were used to quantify image quality by means of similarity between accelerated and reference images. To this end, the normalized mutual information and the root-mean-square error were chosen as quantitative image similarity measures.
The wave-CAIPI sampling was shown to exhibit superior quality, especially for short scan times. The values of the normalized mutual information were (10.2 +- 7.3)% higher in the wave-CAIPI case -- the root-mean-square error was (18.9 +- 13.2)% lower on average. SNR calculations suggest an average SNR benefit of around 14% for the wave-CAIPI, compared to Cartesian sampling.
Resolution of the lung in 8 breathing states can be achieved in only 2 minutes. By using the wave-CAIPI k-space trajectory, precise tumor delineation and assessment of respiration-induced displacement is facilitated.
Cardiac 4D Flow MRI
In 4D flow MRI, acceleration of the image acquisition is essential to incorporate the corresponding scan protocols into clinical routine. In this work, a retrospective 6-fold acceleration of the image acquisition was realized. Cartesian and wave-CAIPI 4D flow examinations of healthy volunteers were used to quantify uncertainties in flow parameters for the respective sampling schemes.
By employing wave-CAIPI sampling, the estimated errors in flow parameters in 6-fold accelerated scans could be reduced by up to 55%. Noise calculations showed that the noise level in 6-fold accelerated 4D flow acquisitions with wave-CAIPI is 43% lower, compared to Cartesian sampling. Comparisons between Cartesian and wave-CAIPI 4D flow examinations with a prospective acceleration factor R=2 revealed small, but partly statistically significant discrepancies. Differences between 2-fold and 6-fold accelerated wave-CAIPI scans are comparable to the differences between Cartesian and wave-CAIPI examinations at R=2.
Wave-CAIPI 4D flow acquisitions of the aorta could be performed with an average, simulated scan time of under 4 minutes, with reduced uncertainties in flow parameters. Important visualizations of hemodynamic flow patterns in the aorta were only slightly affected by undersampling in the wave-CAIPI case, whereas for Cartesian sampling, considerable discrepancies were observed.