@phdthesis{Ciba2021,
  author    = {Ciba, Manuel},
  title     = {Synchrony Measurement and Connectivity Estimation of Parallel Spike Trains from in vitro Neuronal Networks},
  doi       = {10.25972/OPUS-22364},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223646},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {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.},
  subject      = {Synchronit{\"a}tsmessung},
  language  = {en}
}
@phdthesis{Richter2021,
  author    = {Richter, Julian Alexander J{\"u}rgen},
  title     = {Wave-CAIPI for Accelerated Dynamic MRI of the Thorax},
  doi       = {10.25972/OPUS-23207},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-232071},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {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.},
  subject      = {Magnetresonanztomographie},
  language  = {en}
}
@phdthesis{Hrynevich2021,
  author    = {Hrynevich, Andrei},
  title     = {Enhancement of geometric complexity and predictability of melt electrowriting for biomedical applications},
  doi       = {10.25972/OPUS-24764},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-247642},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {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.},
  subject      = {Elektrospinnen},
  language  = {en}
}