Denoising of SPECT-image sinogram-data before reconstruction
2014 (English)In: WMSCI 2014 - 18th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings, 2014, Vol. 1, 202-206 p.Conference paper (Refereed)
Nuclear medicine images have low signal-to-noise ratio (SNR) due to several physical limitations which degrade the image quality considerably. In this study, the Gaussian filter and the patch confidence Gaussian filter (PCG) were used to improve the image quality for Single Photon Emission Computed Tomography (SPECT). The new approach applies these filtering methods on the acquired 2D-projections before reconstructing the image. The new approach was evaluated on a SPECT dataset and the performance was compared with several conventional methods presented in the literature.
Place, publisher, year, edition, pages
2014. Vol. 1, 202-206 p.
2D Projections, Low SNR, Patch Confidence Gaussian Filter PCG, PCKNN, Sinogram, SPECT, Cybernetics, Gaussian distribution, Image quality, Information science, Nuclear medicine, Particle beams, Single photon emission computed tomography, Gaussian filters, Sinograms, Signal to noise ratio
Radiology, Nuclear Medicine and Medical Imaging Physical Sciences
IdentifiersURN: urn:nbn:se:kth:diva-167583ScopusID: 2-s2.0-84923135770ISBN: 9781941763049OAI: oai:DiVA.org:kth-167583DiVA: diva2:815734
18th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2014, 15 July 2014 through 18 July 2014
QC 201506012015-06-012015-05-222015-06-01Bibliographically approved