Nanobiotechnology for health-care

Noise component evaluation for proton magnetic resonance response in multiparametric biological tissues characteristics spatial recovery
Netreba A.V., Naguliak O.O., Radchenko S.P., Komarov A.O., 
Pogorielov R.V.
Faculty of Radiophysics, Electronics and Computer Systems, Taras Shevchenko National University of Kyiv. Volodymyrska Street, 64/13, Kyiv-01601, Ukraine. 
E-mail: avn@univ.kiev.ua

The biological objects spatial distributions characteristics construction by magnetic resonance imaging is selective and controlled excitation of the protons nuclear magnetic resonance phenomenon. The excitation coding technique and subsequent signal recording by pulse sequences is used to provide of spin systems excitation spatial localization. The set of measured response signal can be represented by an expression in the general case [1] 

where symbol  denotes the proton density, respectively T1, T2 denotes spin-lattice and - spin-spin relaxation times. The pulse sequence parameters are marked accordingly as TE and TR. Local areas can be individual or in combination of white matter tissue, gray matter or pathology for brain tissue. Each of them is characterized by a different local molecular environment influence on spin systems relaxation characteristics and different noise component.
The solution may be in the development of special MR pulse sequences that allow the molecular structures analysis or molecular dynamics methods application [2].
The noise component statistical estimation method and its consideration at the reconstruction problem decision are offered for specified conditions. Figure shows the noise component distribution on MR image for coding gradient inhomogeneity parameter value σ= 1/10 [1].		
1.	Netreba A.V., Komarov A.O., Kyiashko Y.O. The multi-component relaxation combination of proton magnetization in biological tissues magnetic resonance investigations // Int. res. and pract. conference: NANO-2019, p. 290.
2.	A.M. Korostil & M.M. Krupa Induced orientational molecular ordering in nematic liquid crystals with magnetic nanoparticles//Mol.Cryst.Liq.Cryst., 2018, V.674:1, pp. 152-158.