Title :
Error propagation in eigenimage filtering
Author :
Soltanian-Zadeh, Hamid ; Windham, Joe P. ; Jenkins, Janice M.
Author_Institution :
Dept. of Diagnostic Radiol. & Med. Imaging, Henry Ford Hospital, Detroit, MI, USA
fDate :
12/1/1990 12:00:00 AM
Abstract :
Mathematical derivation of error (noise) propagation in eigenimage filtering is presented. Based on the mathematical expressions, a method for decreasing the propagated noise given a sequence of images is suggested. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the final composite image are compared to the SNRs and CNRs of the images in the sequence. The consistency of the assumptions and accuracy of the mathematical expressions are investigated using sequences of simulated and real magnetic resonance (MR) images of an agarose phantom and a human brain
Keywords :
biomedical NMR; picture processing; agarose phantom; composite image; contrast-to-noise ratio; eigenimage filtering; error propagation; human brain; magnetic resonance images; noise propagation; signal-to-noise ratio; Biomedical imaging; Brain modeling; Filtering; Hospitals; Magnetic resonance; Magnetic separation; Nonlinear filters; Pixel; Radiology; Signal to noise ratio;
Journal_Title :
Medical Imaging, IEEE Transactions on
