Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Rainer Raupach"'
Autor:
Malte N Bongers, Christoph Schabel, Christoph Thomas, Rainer Raupach, Mike Notohamiprodjo, Konstantin Nikolaou, Fabian Bamberg
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0143584 (2015)
To compare and combine dual-energy based and iterative metal artefact reduction on hip prosthesis and dental implants in CT.A total of 46 patients (women:50%,mean age:63±15years) with dental implants or hip prostheses (n = 30/20) were included and e
Externí odkaz:
https://doaj.org/article/d9dd4edbb4e7415b96138dc4c5456b03
Limited parameter denoising for low‐dose X‐ray computed tomography using deep reinforcement learning
Publikováno v:
Medical Physics. 49:4540-4553
The use of deep learning has successfully solved several problems in the field of medical imaging. Deep learning has been applied to the CT denoising problem successfully. However, the use of deep learning requires large amounts of data to train deep
Autor:
Thomas Sartoretti, Anna Landsmann, Dominik Nakhostin, Matthias Eberhard, Christian Roeren, Victor Mergen, Kai Higashigaito, Rainer Raupach, Hatem Alkadhi, André Euler
Publikováno v:
Radiology, 303(2), 339-348. Radiological Society of North America, Inc.
Background An iterative reconstruction (IR) algorithm was introduced for clinical photon-counting detector (PCD) CT. Purpose To investigate the image quality and the optimal strength level of a quantum IR algorithm (QIR; Siemens Healthcare) for virtu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d22e4f798c3f895dbfafeb7ea35e80d
https://cris.maastrichtuniversity.nl/en/publications/5cb4e4b2-7de4-4830-a6db-c9287e982cd1
https://cris.maastrichtuniversity.nl/en/publications/5cb4e4b2-7de4-4830-a6db-c9287e982cd1
Autor:
Thomas Sartoretti, Anna Landsmann, Dominik Nakhostin, Matthias Eberhard, Christian Roeren, Victor Mergen, Kai Higashigaito, Rainer Raupach, Hatem Alkadhi, André Euler
Publikováno v:
Radiology. 304:E55-E55
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
MICCAI (2)
Deep neural networks have shown great success in low dose CT denoising. However, most of these deep neural networks have several hundred thousand trainable parameters. This, combined with the inherent non-linearity of the neural network, makes the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf467bbac49aa6e641026f7374b5b875
https://doi.org/10.1007/978-3-030-59713-9_49
https://doi.org/10.1007/978-3-030-59713-9_49
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030338428
MLMIR@MICCAI
MLMIR@MICCAI
With the increasing use of CT in diagnostic imaging, reducing the clinical radiation dose is necessary for ensuring patient safety. Reduced radiation dose results in quantum noise which adversely affects image quality and diagnostic value. Moreover,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ab47dba3cce603c3d6de29356b8587
https://doi.org/10.1007/978-3-030-33843-5_11
https://doi.org/10.1007/978-3-030-33843-5_11
Autor:
Andreas Krauss, Ahmed F. Halaweish, Felix E. Diehn, Bernhard Schmidt, Gregory J. Michalak, Amy L. Kotsenas, Joel G. Fletcher, David R. DeLone, Rainer Raupach, Katharine Grant, Cynthia H. McCollough
Publikováno v:
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Metal-related artifacts from spine instrumentation can obscure relevant anatomy and pathology. We evaluated the ability of CT images reconstructed with and without iterative metal artifact reduction to visualize critical anato
Autor:
Rainer Raupach, Anne Ulrich, Matthias C. Burg, Harald Seifarth, Christoph Schuelke, Walter Heindel, Alexander C. Bunck, David Maintz
Publikováno v:
Acta Radiologica. 56:42-50
Background Assesment of the coronary arteries after stent placement using coronary computed tomography angiography (CCTA) currently requires reconstruction of images with soft kernels for the assessment of atherosclerotic plaques and dedicated edge e
Autor:
Rainer Raupach, Thomas Henzler, Thomas Flohr, Mathias Meyer, Holger Haubenreisser, Stefan O. Schoenberg, Florian Lietzmann, Bernhard Schmidt, Christianne Leidecker, Lothar R. Schad, Thomas Allmendinger
Publikováno v:
European Radiology. 25:178-185
To prospectively evaluate radiation dose and image quality of a third generation dual-source CT (DSCT) without z-axis filter behind the patient for temporal bone CT. Forty-five patients were either examined on a first, second, or third generation DSC
Autor:
Thomas Allmendinger, Sonja Gordic, Bernhard Schmidt, Stephan Baumueller, Paul Stolzmann, Thomas Frauenfelder, Fabian Morsbach, Daniela B. Husarik, Rainer Raupach, Hatem Alkadhi, Sebastian Leschka, Thomas Flohr
Publikováno v:
Investigative Radiology. 49:465-473
PURPOSE: The purpose of this study was to evaluate the image quality and sensitivity of ultralow radiation dose single-energy computed tomography (CT) with tin filtration for spectral shaping and iterative reconstructions for the detection of pulmona