Material Decomposition Algorithms for Energy Resolved Detectors in C-arm Angiography SystemC-arm angiography systems are state of the art cardiac
imaging. Digital
subtraction angiography (DSA) is a typical approach for
visualizing vessels
in human body, which provides excellent imaging quality at
low dose.Currently, a new detector technology facilitate, which
called energy
resolved detector, could measure the energy of each photon.
This energy
resolution detectors split the acquired photons into
different energy bins
by single scan. Energy resolved images not only
intrinsically contain good
image quality, but also achieve material decomposition for
differentiation
between bones and contrast agents. Furthermore, it also
facilitates motion
compensation applications, such as heart motion and
breathing movement,
which could be used in interventional operations. In this project, the following topics will be studied:
1. Noise Reduction
2. Calibration
3. Multiple material decomposition
4. Spectral CT
| Project manager:
Prof. Dr.-Ing. Joachim Hornegger, Prof. Dr.-Ing. habil. Andreas Maier
Project participants:
Yanye Lu, M. Sc.
Keywords:
Material decomposition; motion compensation; energy resolved detector
Duration: 1.6.2014 - 31.5.2017
Sponsored by:
Siemens AG, Healthcare Sector
Contact:
Lu, Yanye
Phone +49 9131 85 25246, Fax +49 9131 85 27270, E-Mail: yanye.lu@fau.de
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