The Analysis Of Q-space Images (mean Displacement, Zero-displacement, And Kurtosis) By New MR Q-space Sequences | 12248
OMICS Journal of Radiology
Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
MRI q-space imaging can be enabled in analysis of spatial resolution at the micro-order sizes. So, it is developed of the
new sequences for MR q-space imaging in a clinical side in our research. It is called to q-space that signal decay curve
corresponding to q-value in NMR system. And, as for the fourier conversion of q-space is the diffusion displacement of spectrum.
Whereas fourier conversion of K-space is raw data of MRI is the consistency spectrum. It is obtained to diffusion displacement
distribution of water molecule that performed the Fourier transform which assumed correlative vector q (= γδg/2π) which
demanded displacement distribution of a water molecule a variable. It is displayed FWHM (diffusion mean displacement quantity)
of obtained distribution and an image of the maximum distribution (the ratio null quantity of diffusion mean displacement). We
used EPIC (ver9.0) made in GE company for imaging pulse sequence development. It is showed quantity of displacement in
voxel in the polyhedron mode. Water molecule diffusion displacement was shown greatly in the high signal, and the image of
zero displacement distribution showed probability with a few water molecule diffusion displacements in the high signal with the
corpus callosum and the medulla spinalis level of the axial displacement image. It was able to confirm correspondence with the q
-space theory by these experiment facts. The displacement image reflects locus of fast diffusion coefficient in locus of high signal
intensity in comparison with ADC map, and the derangement image depicted the fine structure part that is the signal change of
the slow diffusion ingredient.
Kazuo Yagi has completed his Ph.D. at the age of 39 years from Nagoya University and he studied NMR or MRI about technology from Tokyo
University School of Medicine Hospital from the age of 30 years. He is a professor of Tokyo Metropolitan University, Graduate School of Health
Science. He has published more than 50 papers in reputed journals and has experience an Assistant Professor in University of Tokyo, Graduate
School of Engineering and Kanazawa University at department of Medical Technology College, an Assistant Professor in Mie University Graduate
School of Engineering for total 14 years.
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals