Rainer Grimmer
Siemens
21 Papers
77 Citations
Rainer Grimmer is an academic researcher from Siemens. The author has contributed to research in topics: Iterative reconstruction & Image quality. The author has an hindex of 9, co-authored 20 publications. Previous affiliations of Rainer Grimmer include University of Erlangen-Nuremberg.
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Papers
An investigation of 4D cone-beam CT algorithms for slowly rotating scanners.
Frank Bergner,Timo Berkus,Markus Oelhafen,Patrik Kunz,Tinsu Pan,Rainer Grimmer,Ludwig Ritschl,Marc Kachelrieß +7 more
TL;DR: The reconstruction algorithms including at least one iterative step can reduce the 4D CBCT specific artifacts and fast, iterative approaches such as the MKB can be seen as a suitable tradeoff.
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Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-enhanced CT Image Data: Correlation with Liver Perfusion CT
Christopher Kloth,Wolfgang M. Thaiss,Rainer Kärgel,Rainer Grimmer,Jan Fritz,S. D. Ioanoviciu,Dominik Ketelsen,Konstantin Nikolaou,Marius Horger +8 more
TL;DR: Significant correlations exist between CTTA parameters and those derived from PCT both in the pre- and the post-TACE settings, and some of them have predictive value for TACE midterm outcome.
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A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence.
Mutlu Demirer,Sema Candemir,Matthew T. Bigelow,Sarah M. Yu,Vikash Gupta,Luciano M. Prevedello,Richard D. White,Joseph S. Yu,Rainer Grimmer,Michael Wels,Andreas Wimmer,Abdul H. Halabi,Alvin Ihsani,Thomas F. O'Donnell,Barbaros S. Erdal +14 more
- 27 Nov 2019
TL;DR: GUI-component compatibility with common image analysis tools facilitates radiologist engagement in image data curation, including image annotation, supporting AI application development and evolution for medical imaging.
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Assessment of spatial resolution in CT
Rainer Grimmer,Jens Krause,Marek Karolczak,Robert Lapp,Marc Kachelriess +4 more
- 01 Oct 2008
TL;DR: A technique which requires only one, easy to handle, measurement of a sphere to calculate radial and longitudinal PSF and therefrom obtain the corresponding MTFs is proposed, which appears superior to existing methods.
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Empirical cupping correction for CT scanners with primary modulation (ECCP).
TL;DR: The empirical cupping correction for primary modulation (ECCP) corrects for artifacts, such as cupping artifacts or ring artifacts, that are induced by non-linearities in the projection data due to spatially varying pre- or post filtration of the x-rays.
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