Refine
Year of publication
- 2010 (343) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (73)
- Fachbereich Wirtschaftswissenschaften (41)
- IfB - Institut für Bioengineering (40)
- Fachbereich Elektrotechnik und Informationstechnik (36)
- Fachbereich Chemie und Biotechnologie (35)
- Fachbereich Energietechnik (35)
- Fachbereich Maschinenbau und Mechatronik (31)
- Fachbereich Bauingenieurwesen (24)
- Fachbereich Luft- und Raumfahrttechnik (24)
- INB - Institut für Nano- und Biotechnologien (23)
Language
- English (187)
- German (153)
- Italian (2)
- Multiple languages (1)
Document Type
- Article (140)
- Conference Proceeding (100)
- Book (38)
- Part of a Book (23)
- Conference: Meeting Abstract (20)
- Patent (7)
- Report (5)
- Doctoral Thesis (2)
- Other (2)
- Part of a Periodical (2)
Keywords
- Aachen / Fachhochschule Aachen (3)
- Aachen University of Applied Sciences (3)
- FH Aachen (2)
- Geschichte (2)
- avalanche (2)
- humans (2)
- Adsorbentien (1)
- Cardiovascular MRI (1)
- Cardiovascular Magnetic Resonance (1)
- Commercial Vehicle (1)
As the field strength and, therefore, the operational frequency in MRI is increased, the wavelength approaches the size of the human head/body, resulting in wave effects, which cause signal decreases and dropouts. Several multichannel approaches have been proposed to try to tackle these problems, including RF shimming, where each element in an array is driven by its own amplifier and modulated with a certain (constant) amplitude and phase relative to the other elements, and Transmit SENSE, where spatially tailored RF pulses are used. In this article, a relatively inexpensive and easy to use imaging scheme for 7 Tesla imaging is proposed to mitigate signal voids due to B1 field inhomogeneity. Two time-interleaved images are acquired using a different excitation mode for each. By forming virtual receive elements, both images are reconstructed together using GRAPPA to achieve a more homogeneous image, with only small SNR and SAR penalty in head and body imaging at 7 Tesla.
In this extended abstract we describe the robot programming and planning language READYLOG, a GOLOG dialect which was developed to support the decision making of robots acting in dynamic real-time domains like robotic soccer. The formal framework of READYLOG, which is based on the situation calculus, features imperative control structures like loops and procedures, allows for decision-theoretic planning, and accounts for a continuously changing world. We developed high-level controllers in READYLOG for our soccer robots in RoboCup’s Middle-size league, but also for service robots and for autonomous agents in interactive computer games.