Title :
Statistical reconstruction for a high resolution Medipix CT
Author :
Luebke, J. ; Procz, S. ; Zwerger, A. ; Fiederle, M. ; Mix, M.
Author_Institution :
Nuklearmedizinische Klinik, Universitatsklinikum Freiburg, Freiburg, Germany
fDate :
Oct. 30 2010-Nov. 6 2010
Abstract :
Statistical reconstruction methods are especially suitable for use with low-count statistics. We propose a special, for-transmission modified, ordered subset expectation algorithm (mTR-OSEM). This algorithm was adapted for use in connection with an existing Medipix-CT. The combination of the Medipix with different semiconductor materials for the tomographic imaging and the Maximum - Likelihood - Expectation - Maximization - based reconstruction allows a reduction in the accelerated X-ray dose while maintaining good image quality. Basic information about the Medipix-CT, and its reconstruction requirements will be presented in addition to the first reconstruction results.
Keywords :
computerised tomography; dosimetry; expectation-maximisation algorithm; image reconstruction; image resolution; medical image processing; photon counting; accelerated X-ray dose; high-resolution Medipix CT; low-count statistics; maximum-likelihood-expectation method; ordered subset expectation algorithm; semiconductor materials; statistical reconstruction methods; tomographic imaging; transmission modified algorithm; Bones; Image quality; Image reconstruction; Pixel; Signal to noise ratio; Tomography; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-9106-3
DOI :
10.1109/NSSMIC.2010.5874545