A new underwater 3D scanning device based on structured illumination and designed for continuous capture of object data in motion for deep sea inspection applications is introduced. The sensor permanently captures 3D data of the inspected surface and generates a 3D surface model in real time. Sensor velocities up to 0.7 m/s are directly compensated while capturing camera images for the 3D reconstruction pipeline. The accuracy results of static measurements of special specimens in a water basin with clear water show the high accuracy potential of the scanner in the sub-millimeter range. Measurement examples with a moving sensor show the significance of the proposed motion compensation and the ability to generate a 3D model by merging individual scans. Future application tests in offshore environments will show the practical potential of the sensor for the desired inspection tasks.

Lightning has fascinated humanity since the beginning of our existence. Different types of lightning like sprites and blue jets were discovered, and many more are theorized. However, it is very likely that these phenomena are not exclusive to our home planet. Venus’s dense and active atmosphere is a place where lightning is to be expected. Missions like Venera, Pioneer, and Galileo have carried instruments to measure electromagnetic activity. These measurements have indeed delivered results. However, these results are not clear. They could be explained by other effects like cosmic rays, plasma noise, or spacecraft noise. Furthermore, these lightning seem different from those we know from our home planet. In order to tackle these issues, a different approach to measurement is proposed. When multiple devices in different spacecraft or locations can measure the same atmospheric discharge, most other explanations become increasingly less likely. Thus, the suggested instrument and method of VELEX incorporates multiple spacecraft. With this approach, the question about the existence of lightning on Venus could be settled.

This thesis encompasses the development of the additive manufacturing technology melt electrowriting, in order to achieve the improved applicability in biomedical applications and design of scaffolds. Melt electrowriting is a process capable of producing highly resolved structures from microscale fibres. Nevertheless, there are parameters influencing the process and it has not been clear how they affect the printing result. In this thesis the influence of the processing and environmental parameters is investigated with the impact on their effect on the jet speed, fibre diameter and scaffold morphology, which has not been reported in the literature to date and significantly influences the printing quality. It was demonstrated that at higher ambient printing temperatures the fibres can be hampered to the extent that the individual fibres are completely molten together and increased air humidity intensifies this effect. It was also shown how such parameters as applied voltage, collector distance, feed pressure and polymer temperature influence the fibre diameter and critical translation speed. Based on these results, a detailed investigation of the fibre diameter control and printing of scaffolds with novel architectures was made. As an example, a 20-fold diameter ratio is obtained within one scaffold by changing the collector speed and the feed pressure during the printing process. Although the pressure change caused fibre diameter oscillations, different diameter fibres were successfully integrated into two scaffold designs, which were tested for mesenchymal stromal cell suspension and adipose tissue spheroid seeding. Further design and manufacturing aspects are discussed while jet attraction to the printed structures is illuminated in connection with the fibre positioning control of the multilayer scaffolds. The artefacts that appear with the increasing scaffold height of sinusoidal laydown patterns are counteracted by layer-by-layer path adjustment. For the prediction of a printing error of the first deposited layer, an algorithm is developed, that utilizes an empirical jet lag equation and the speed of fibre deposition. This model was able to predict the position of the printing fibre with up to ten times smaller error than the of the programmed path. The same model allows to qualitatively assess the fibre diameter change along the nonlinear pattern as well as to indicate the areas of the greatest pattern deformation with the growing scaffold height. Those results will be used in the later chapters for printing of the novel MEW structures for biomedical applications. In the final chapter the concept of multimodal scaffold was combined with the suspended fibre printing, for the manufacturing of the MEW scaffolds with controlled pore interconnectivity in three dimensions. Those scaffolds were proven to be a promising substate for the control of the neurite spreading of the chick DRG neurons.

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.

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.