Zusammenfassung
Cerebral aneurysms represent an essential problem in neuroradiology. In clinical practice, they are frequently diagnosed and treated based on digital subtraction angiography (DSA) which provides an impression of the blood flow dynamics. In contrast, computational hemodynamics enables precise quantification of flow-related properties based on a patient-specific 3D anatomy extracted from CT or MRI. To support the qualitative interpretation of simulated flow data, we imitate the appearance of DSA data from simulated flow data. This research is motivated by shortcomings of previous visualization techniques which may overwhelm physicians and are not familiar to them. The virtual DSA representations can be generated without manual parameter adaption by the user. We applied our method to different cerebral aneurysm data sets and performed a qualitative evaluation compared to real DSA images together with two radiologists.
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© 2022 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Preßler, R., Lawonn, K., Preim, B., Meuschke, M. (2022). Virtual DSA Visualization of Simulated Blood Flow Data in Cerebral Aneurysms. In: Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-36932-3_51
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DOI: https://doi.org/10.1007/978-3-658-36932-3_51
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