Title :
Stochastic properties of nephroscintigraphic images with 99mTc-DMSA
Author :
Nikolov, N.A. ; Supruniuk, D.A. ; Smetaniuk, A.N.
Author_Institution :
Med. Phys. & Bioeng. Dept., Nat. Cancer Inst., Kiev, Ukraine
Abstract :
Physical phantom studies in nuclear medicine images have a number of shortcomings that makes it not possible to correctly estimate the parameters of computer image analysis, in particular renal 99mTc-DMSA. Therefore, developing a virtual phantom of scintigraphic kidney is important. This paper addresses the narrow task: the quantitative evaluation of the stochastic properties of scintigraphic images of kidney with 99mTc-DMSA and the evaluation of lumped and distributive parameters of noise. It is shown that the virtual image noising of renal 99mTc-DMSA should be used with Gauss white noise, and noise intensity increases proportionally with the increase of radioactivity in the kidney accounts.
Keywords :
image denoising; kidney; medical image processing; phantoms; radioisotope imaging; stochastic processes; white noise; computer image analysis; distributive noise parameters; kidney; lumped noise parameters; narrow task; nephroscintigraphic images; noise intensity; nuclear medicine images; phantoms; radioactivity; renal 99mTc-DMSA; stochastic properties; virtual image noising; Detectors; Dispersion; Histograms; Kidney; Noise; Phantoms; Stochastic processes; image segmentation; noise; scintigraphic phantom of kidney; stochastic properties of scintigraphic images;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2013 IEEE XXXIII International Scientific Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-4669-6
DOI :
10.1109/ELNANO.2013.6552051
