NEWS AND PRESS

Presented at Congress of the European Society of Radiology (2022) Authors Albert J., Fernandez M., Thauerer M., Egger K., Gärtner F., Peters S., Hock S., Trautmann D., Opalka J. Abstract Purpose To assess whether the AI-based system mdbrain leads to efficiency gains when used in a real-life setting.   Materials

Presented at Congress of the European Society of Radiology (2022) Authors Dalbis T., Grilo J., Hitziger S., Ling W. X., Opalka J., Lemke A. Abstract Purpose The diagnosis of multiple sclerosis (MS) requires the assessment of lesion load from brain MRIs. Traditionally, MS lesions are manually annotated by radiologists, a process

Presented at Swiss Congress of Radiology (2022) Authors Klail T., Radojewski P. Abstract Purpose Small incidental aneurysms represent a clinical challenge, since it is often difficult to distinguish them other structures (e.g. infundibulary branch) using standard field strengths (1.5/3T MRI). The diagnostic gold standard in form of digital subtraction angiography

Veröffentlicht in Clinical Neuroradiology, 31(Supplement 1), 29-30. (2021) Autoren A.-L. Mayer, A. Mennecke, S. W. Hock, D. Marterstock, J. Rösch, H. Hamer, B. Kasper, A. Dörfer, M. Schmidt Abstract Ziel der Studie Die automatisierte Berechnung des Hirnvolumens aus MRT-3D-Datensätzen erlaubt eine zeitsparende quantitative Beurteilung des Hirnvolumens in der klinischen Befundungsroutine.

Published in Clinical Neuroradiology, 31(Supplement 1), 41-42. (2021) Authors S. W. Hock, D. C. Marterstock, A.-L- Mayer, C. Bettray, K. Huhn, V. Rothhammer, A. Dörfler, M. Schmidt Abstract Purpose Artificial intelligence (AI) algorithms have already had a major impact on medical imaging and opened a wide field of detection of

Published in Clinical Neuroradiology, 31(Supplement 1), 21-22. (2021) Authors J. Rudolph, J. Rückel, J. Döpfert, X. Ling, J. Opalka, C. Brem et al. Abstract Purpose Brain volumetry is a key aspect in dementia diagnostics. We applied an artificial intelligence (AI) system based on a Convolutional Neural Network (CNN) which aims to

Published in MAGMA Vol. 34(4) Pp: 487–497 (2021) Authors M. Dieckmeyer, A. Guha Roy, J. Senapati, C. Wachinger, L. Grundl, J. Döpfert, P. Ferrera Bertran, A. Lemke, C. Zimmer, J. S. Kirschke, D. M. Hedderich Abstract Objectives To investigate the effect of compressed SENSE (CS), an acceleration technique combining parallel

Presented at European Society of Radiology (2021) Authors J. Meissner, P. Mann, H. Michaely, J. Opalka, A. Lemke Abstract Purpose To quantify the performance of a new Deep Learning (DL)-based algorithm in differentiating Progressive Supranuclear Palsy (PSP) patients from healthy individuals and patients with Parkinson’s disease (PD). Materials & Methods

Veröffentlicht in Fortschr Röntgenstr; 193: S25. (2021) Autoren L. Krause, N. Lummel, T. Baum, M. Röttinger, I. Kleiter, M. Notohamiprodjo Abstract Ziel der Studie Vergleich von zwei Software-Lösungen zur automatisierten Quantifizierung des Hirn- und Läsionsvolumens bei Multiple-Sklerose-Patienten. Materialen & Methoden Es wurden 86 Patienten mit gesicherter Multipler Sklerose mit einer

Presented at Congress of the European Society of Radiology (2022) Authors Opalka J., Ferrera Bertran P., Lemke A. Abstract Purpose To test and compare the repeatability and diagnostic accuracy of different academic and commercial brain volumetry solutions with different methodologies with and without DeepLearning (DL).   Materials & Methods Brain