Multi-material beam hardening artifacts reduction in computed tomographyIn computed tomography (CT), non-linear characteristics of
beam hardening are
caused by polychromaticity of x-rays, which severely degrade
CT image quality
and diagnostic accuracy. Current correction approaches used
in clinical CT are
mainly based on water-equivalent calibration and recent
scientific researches
published an extension of including dense bones in the scan
field. This approach
makes assumptions of certain material types, which are only
partially valid and
may lead to suboptimal corrections. Other correction
techniques are limited in
correction effectiveness and computational complexity on
cone beam geometry,
when scanned objects consist of more than one material.The aim of this project is to effectively reduce beam
hardening artifacts with
datasets consist of multi-materials:
1) Analysis and evaluation of algorithms for state-of-the-
art beam hardening
artifacts algorithms.
2) Development of algorithms with consideration of
inhomogeneous density objects.
3) GPU acceleration for 3D reconstruction geometry
| Project manager:
Prof. Dr.-Ing. Joachim Hornegger, Dr. Nicole Maass, Dr. Matthias Elter
Project participants:
Qiao Yang, M. Sc.
Keywords:
3D CT reconstruction; beam hardening; CT image quality
Duration: 1.9.2011 - 31.8.2014
Sponsored by:
Siemens AG, Healthcare Sector
Contact:
Yang, Qiao
Phone +49 9131 85 27894, Fax +49 9131 85 27270, E-Mail: qiao.yang@cs.fau.de
|