600 Technik, Technologie
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- Magnetresonanztomographie (2)
- 3D printing (1)
- 3D-Druck (1)
- Aktive Implantate (1)
- Bildartefakte (1)
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In vitro models mimic the tissue-specific anatomy and play essential roles in personalized medicine and disease treatments. As a sophisticated manufacturing technology, 3D printing overcomes the limitations of traditional technologies and provides an excellent potential for developing in vitro models to mimic native tissue. This thesis aims to investigate the potential of a high-resolution 3D printing technology, melt electrowriting (MEW), for fabricating in vitro models. MEW has a distinct capacity for depositing micron size fibers with a defined design. In this thesis, three approaches were used, including 1) extending the MEW polymer library for different biomedical applications, 2) developing in vitro models for evaluation of cell growth and migration toward the different matrices, and 3) studying the effect of scaffold designs and biochemical cues of microenvironments on cells.
First, we introduce the MEW processability of (AB)n and (ABAC)n segmented copolymers, which have thermally reversible network formulation based on physical crosslinks. Bisurea segments are combined with hydrophobic poly(dimethylsiloxane) (PDMS) or hydrophilic poly(propylene oxide)-poly(ethylene oxide)-poly(propylene oxide) (PPO-PEG-PPO) segments to form the (AB)n segmented copolymers. (ABAC)n segmented copolymers contain all three segments: in addition to bisurea, both hydrophobic and hydrophilic segments are available in the same polymer chain, resulting in tunable mechanical and biological behaviors. MEW copolymers either support cells attachment or dissolve without cytotoxic side effects when in contact with the polymers at lower concentrations, indicating that this copolymer class has potential in biological applications. The unique biological and surface properties, transparency, adjustable hydrophilicity of these copolymers could be beneficial in several in vitro models.
The second manuscript addresses the design and development of a melt electrowritten competitive 3D radial migration device. The approach differs from most of the previous literature, as MEW is not used here to produce cell invasive scaffolds but to fabricate an in vitro device. The device is utilized to systematically determine the matrix which promotes cell migration and growth of glioblastoma cells. The glioblastoma cell migration is tested on four different Matrigel concentrations using a melt electrowritten radial device. The glioblastoma U87 cell growth and migration increase at Matrigel concentrations 6 and 8 mg mL-1 In the development of this radial device, the accuracy, and precision of melt electrowritten circular shapes were investigated. The results show that the printing speed and design diameter are essential parameters for the accuracy of printed constructs. It is the first instance where MEW is used for the production of in vitro devices.
The influence of biochemical cues and scaffold designs on astrocytes and glioblastoma is investigated in the last manuscript. A fiber comprising the box and triangle-shaped pores within MEW scaffolds are modified with biochemical cues, including RGD and IKVAV peptides using a reactive NCO-sP(EO-stat-PO) macromer. The results show that astrocytes and glioblastoma cells exhibit different phenotypes on scaffold designs and peptide-coated scaffolds.
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.
The goal of this doctoral thesis is to identify appropriate methods for the estimation of connectivity and for measuring synchrony between spike trains from in vitro neuronal networks. Special focus is set on the parameter optimization, the suitability for massively parallel spike trains, and the consideration of the characteristics of real
recordings. Two new methods were developed in the course of the optimization which outperformed other methods from the literature. The first method “Total spiking probability edges” (TSPE) estimates the effective connectivity of two spike trains, based on the
cross-correlation and a subsequent analysis of the cross-correlogram. In addition to the estimation of the synaptic weight, a distinction between excitatory and inhibitory connections is possible. Compared to other methods, simulated neuronal networks could be estimated with higher accuracy, while being suitable for the analysis of massively parallel spike trains. The second method “Spike-contrast” measures the synchrony of parallel spike trains
with the advantage of automatically optimizing its time scale to the data. In contrast to other methods, which also adapt to the characteristics of the data, Spike-contrast is more robust to erroneous spike trains and significantly faster for large amounts of parallel spike trains. Moreover, a synchrony curve as a function of the time scale is generated by Spike-contrast. This optimization curve is a novel feature for the analysis of parallel spike trains.
Diese Arbeit beschäftigt sich mit der Kompatibilität in der medizinischen Bildgebung unter zwei verschiedenen Aspekten: (A) Beeinflussung von Gradientenfeldern durch das Magnetsystem eines Magnetresonanztomographen. (B) Beeinflussung elektronischer Bauteile durch ionisierende Strahlung.
Imperfektionen in der Gradientenhardware (7–13) führen dazu, dass nicht die ideale zeitliche Gradientenform ausgespielt wird, sondern eine verzerrte Version der Gradienten (6,14). In der nicht-kartesischen Bildgebung führen diese resultierenden Abweichungen in den k-Raum Trajektorien zu Bildartefakten, die sich negativ auf die Diagnosestellung auswirken können. Die linearen und zeitinvarianten Eigenschaften des Gradientensystems ermöglichen die Bestimmung der Übertragungsfunktion (GSTF) (20). Diese Übertragungsfunktion kann innerhalb der Bildrekonstruktion zur Trajektorienkorrektur verwendet werden (14,15,70). In dieser Arbeit wurden mit der Feldkamera (Skope Magnetic Resonance Technologies, Zürich, Schweiz) (22,23) und der schichtselektiven Phantommethode (5,6) zwei etablierte GSTF-Messverfahren verglichen. Dabei wurde die Notwendigkeit einer Abtastzeitkompensation festgestellt, um die GSTF-Informationen entsprechend der gewählten Abtastzeit zu korrigieren (s. Abbildung 16) und die Trajektorien hinreichend zu korrigieren und damit Bildartefakte zu reduzieren. Die Langzeit- und Temperaturanalyse der GSTF zeigte für zwei verschiedene Siemens-Tomographen (Siemens Healthcare, Erlangen, Germany) eine Langzeit und Temperaturstabilität, auch bei extensiven Duty-Cyclen. Damit lässt sich auch einfach eine Pre-emphasis-Korrektur der Gradienten realisieren, was exemplarisch mit einer Zig-Zag- und einer Spiral-Sequenz gezeigt werden konnte. Die GSTF-Pre-emphasis-Korrektur lieferte dabei ähnliche Ergebnisse wie die GSTF-Post-Processing-Technik (s. Abbildung 44 und 47).
In Bezug auf die Kompatibilität in der medizinischen Bildgebung wurde in dieser Arbeit auch die Beeinflussung von medizinischen Implantaten durch ionisierende Strahlung untersucht. Herzschrittmacher, Kardioverter-Defibrillatoren oder andere aktive medizini- sche Implantate können in ihrer Funktion durch ionisierende Strahlung, die bei verschiedenen diagnostischen und therapeutischen Anwendungen appliziert wird, beeinträchtigt werden (28,97,111). In dieser Studie wurden verschiedene elektronische Bauteile, wie Kondensatoren, Transistoren, Batterien und Speicherkarten in einer gewebeäquivalenten Messumgebung bestrahlt und dabei auf ihre Funktionalität überprüft. Die Messumgebung simuliert dabei die Wechselwirkungseigenschaften von menschlichem Gewebe mit ionisierender Strahlung in einem Energiebereich von 10 keV – 6 MeV. Zudem ermöglicht sie mit der Einschubeinheit die Integration von Implantaten/elektronischen Bauteilen, sowie eine realistische Bestrahlungsplanung und Dosisverifikation (35,77). Bei den Kondensatoren zeigten sich während der Bestrahlung ein verändertes Funktionsverhalten, mit signifikant abweichenden Spannungen und Zeitkonstanten gegenüber dem unbestrahlten Zustand. Auch die Batterien haben sich während der Bestrahlung signifikant schneller entladen, als ohne Strahlungsapplikation. Nach der Bestrahlung konnten bei den untersuchten SD-Speicherkarten auch Veränderungen in den Speicherzellen festgestellt werden. Bei den Transistoren war aufgrund von Fehlern im Messsetup und dem Schaltungsdesign keine genauere teststatistische Auswertung möglich. Zusammenfassend lässt sich sagen, dass sich charakteristische Kenngrößen der untersuchten Bauteile bei Strahlungsapplikation signifikant veränderten.