Zobrazeno 1 - 10
of 609
pro vyhledávání: '"Michael Bock"'
Autor:
Simon Reiss, Kevin Wäscher, Ali Caglar Özen, Thomas Lottner, Timo Heidt, Constantin von zur Mühlen, Michael Bock
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 4, Pp 596-609 (2024)
Purpose: To test intra-arterial spin labeling (iASL) using active guiding catheters for myocardial perfusion measurements during magnetic resonance (MR)-guided interventions in a pig study. Methods: In this work, a single-loop radiofrequency (RF) coi
Externí odkaz:
https://doaj.org/article/75e34130410e42a481bf65e372fe1207
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 3, Pp 446-455 (2024)
Purpose: To maximize acquisition bandwidth in zero echo time (ZTE) sequences, readout gradients are already switched on during the RF pulse, creating unwanted slice selectivity. The resulting image distortions are amplified especially when the anatom
Externí odkaz:
https://doaj.org/article/57b513b5e9bb49959aa8dfc454a047e3
Autor:
Deepa Darshini Gunashekar, Lars Bielak, Benedict Oerther, Matthias Benndorf, Andrea Nedelcu, Samantha Hickey, Constantinos Zamboglou, Anca-Ligia Grosu, Michael Bock
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Background In this work, we compare input level, feature level and decision level data fusion techniques for automatic detection of clinically significant prostate lesions (csPCa). Methods Multiple deep learning CNN architectures were develo
Externí odkaz:
https://doaj.org/article/7e250f0432c34ab7acc7bf0bbdc94c6c
Autor:
Simon Reiss, Julien Thielmann, Johannes Fischer, Thomas Lottner, Alexander Maier, Dirk Westermann, Constantin von zur Mühlen, Timo Heidt, Michael Bock
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Magnetic resonance imaging (MRI) provides a multitude of techniques to detect and characterize myocardial infarction. To correlate MRI findings with histology, in most cases terminal animal studies are performed; however, precise extraction
Externí odkaz:
https://doaj.org/article/1bbda5db13284233bffe5da92404e0fe
Autor:
Samantha Hickey, Ali C. Ozen, Simon Reiss, Andreas Reichert, Niklas Verloh, Thomas Lottner, Srdjan Milosavljevic, Michael Vogele, Wibke Uller, Michael Bock
Publikováno v:
IEEE Access, Vol 12, Pp 40267-40278 (2024)
In closed-bore MRI units, assistance systems play a crucial role in overcoming patient access limitations during percutaneous interventions. In this work, we present eGantryMate, a piezo-motor-driven assistance system specifically designed for MR-gui
Externí odkaz:
https://doaj.org/article/f73f50d9694a4008aa531519ad4b0281
Autor:
Florian Meissner, Michelle Costa Galbas, Sophie Szvetics, Constantin von zur Mühlen, Timo Heidt, Alexander Maier, Michael Bock, Martin Czerny, Wolfgang Bothe, Simon Reiss
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Pigs are frequently applied as animal models in cardiovascular research due to their anatomical and physiological similarity to humans. For study planning and refinement, precise knowledge of the cardioaortic dimensions is essential. In a re
Externí odkaz:
https://doaj.org/article/ebbec4c13d1f488182fbfc64ed47eabc
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100270- (2024)
Externí odkaz:
https://doaj.org/article/48082561ab774246ac7350d20c227798
Autor:
Simon Reiss, PhD, Timo Heidt, MD, Julien Thielmann, Alexander Maier, MD, Constantin von zur Mühlen, MD, Michael Bock, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100277- (2024)
Externí odkaz:
https://doaj.org/article/e8580f2d2bf0482aaa59a7ab15a785f1
Autor:
Ali Özen, PhD, Maximilian Russe, Thomas Lottner, Simon Reiss, PhD, Sebastian Littin, Maxim Zaitsev, Michael Bock, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 101022- (2024)
Externí odkaz:
https://doaj.org/article/b2fba687b9124a05be3d8053ca4f0134
Autor:
Deepa Darshini Gunashekar, Lars Bielak, Leonard Hägele, Benedict Oerther, Matthias Benndorf, Anca-L. Grosu, Thomas Brox, Constantinos Zamboglou, Michael Bock
Publikováno v:
Radiation Oncology, Vol 17, Iss 1, Pp 1-10 (2022)
Abstract Automatic prostate tumor segmentation is often unable to identify the lesion even if multi-parametric MRI data is used as input, and the segmentation output is difficult to verify due to the lack of clinically established ground truth images
Externí odkaz:
https://doaj.org/article/1cff1bc02490456392580ade4fa699d0