DocumentCode :
1777786
Title :
Correlation reconstructed spine and time relaxation spatial distribution of atomic systems in MRI
Author :
Netreba, A.V. ; Radchenko, S.P. ; Razdabara, M.O.
Author_Institution :
Med. Radiophys. Dept., Taras Shevchenko Nat. Univ. of Kyiv, Kiev, Ukraine
fYear :
2014
fDate :
15-18 April 2014
Firstpage :
365
Lastpage :
367
Abstract :
Mathematical model for reconstruction of the relaxation times weighted magnetic resonance images is proposed. The initial date is experimentally estimated from MRI proton density images. Reconstruction of the medical images for the inversion-recovery pulse sequence is considered. The optimal pulse sequence parameters and the interdependence of spin density and spin - lattice was found. Interrelations of spine density and the time of spine-spine relaxation are calculated with using of the correlation coefficient. The estimated parameters value allows tissue state description and disease identification better then proton density. The results have special significance for diagnostics of illnesses caused by complex biochemical changes in tissues.
Keywords :
biochemistry; biomedical MRI; brain; diseases; image reconstruction; image sequences; medical image processing; neurophysiology; MRI proton density images; atomic systems; complex biochemical changes; correlation coefficient; correlation reconstructed spine; disease identification; illnesses diagnostics; inversion-recovery pulse sequence; mathematical model; optimal pulse sequence parameters; proton density; relaxation times weighted magnetic resonance image reconstruction; spin density; spin lattice; spine-spine relaxation; time relaxation spatial distribution; tissue state description; Biomedical imaging; Distribution functions; Graphical models; Image reconstruction; Magnetic resonance imaging; Polynomials; Protons; MRI; hydrogen atomic system; image reconstruction; pulse sequence; spin-lattice; spine density;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2014 IEEE 34th International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4799-4581-8
Type :
conf
DOI :
10.1109/ELNANO.2014.6873453
Filename :
6873453
Link To Document :
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