Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daniel, Bystrov"'
Autor:
Sven Krönke, Jens von Berg, Matthias Brück, Daniel Bystrov, André Goossen, Tim Harder, Bernd Lundt, Jan Marek May, Nataly Wieberneit, Tobias Wissel, Omar Hertgers, Hildo J. Lamb, Stewart Young
Publikováno v:
Medical Imaging 2022: Image Processing.
Autor:
Daniel Bystrov, Sven Krönke, Jens von Berg, André Gooßen, Tim Harder, Stewart Young, Nataly Wieberneit, Matthias Brück
Publikováno v:
Medical Imaging: Image Processing
The quality of chest radiographs is a practical issue because deviations from quality standards cost radiologists' time, may lead to misdiagnosis and hold legal risks. Automatic and reproducible assessment of the most important quality figures on eve
Autor:
Torbjorn Vik, Nicole Schadewaldt, Martin Bergtholdt, Daniel Bystrov, Astrid Franz, Heinrich Schulz
Publikováno v:
Medical Imaging: Image Processing
Automated interpretation of CT scans is an important, clinically relevant area as the number of such scans is increasing rapidly and the interpretation is time consuming. Anatomy localization is an important prerequisite for any such interpretation t
Autor:
Horst Urbach, Hans H. Schild, Winfried A. Willinek, Michael Nelles, Juergen Gieseke, Daniel Bystrov, Renate Semrau
Publikováno v:
Journal of Magnetic Resonance Imaging. 30:672-677
Purpose To evaluate the feasibility of automatic planning and scanning of brain MR imaging (MRI) protocols on a clinical 3 Tesla system in tumor patients before and after neurosurgical intervention. Materials and Methods Twenty-nine patients with int
Autor:
Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Jochen Keupp, Peter Koken, Peter Börnert
Publikováno v:
Magnetic Resonance in Medicine. 62:1067-1072
A concept is proposed to simplify patient positioning and scan planning to improve ease of use and workflow in MR. After patient preparation in front of the scanner the operator selects the anatomy of interest by a single push-button action. Subseque
Autor:
Jan Modersitzki, Lisa Kausch, Heinrich Schulz, Rafael Wiemker, Astrid Franz, Torbjorn Vik, Daniel Bystrov, Nicole Schadewaldt
Publikováno v:
Medical Imaging: Image Processing
A fully automatic method generating a whole body atlas from CT images is presented. The atlas serves as a reference space for annotations. It is based on a large collection of partially overlapping medical images and a registration scheme. The atlas
Publikováno v:
International Congress Series. 1281:68-73
MRI is capable of acquiring time series of 3D images, which gives a 4D examination that can be used for kinematic joint imaging of an unrestricted movement. However, slice-by-slice viewing of the 4D images is cumbersome, and does not allow to appreci
Autor:
Wiro J. Niessen, Max A. Viergever, Daniel Bystrov, Chris A. Cocosco, Thomas Netsch, Julien Senegas
Publikováno v:
CARS
A method for computing a region of interest (ROI) around the heart in short-axis 3D+time structural MRI cardiac scans is presented. The method is fully automatic, fast, makes only few, plausible assumptions about the images and was proved robust thro
Publikováno v:
ISBI
Robust initialization is essential for any successful segmentation process of medical images. For CT images, initialization is challenging because quality, appearance, content, and field-of-view of the images are highly variable. Furthermore, high ex
Publikováno v:
ICIP
Automatic tools for the propagation of contours and surfaces in time series of CT images (4DCT) are necessary e.g. for dose calculation in radio-therapy-planning. The state of the art method is the registration of 3-D frames of the sequence on a stat