Personalized and precise MRI method

Abstract

The invention discloses a personalized and precise magnetic resonance imaging method. During the data collecting and processing procedure of the magnetic resonance imaging operation, an individual relaxation time spectrogram is deduced and individual optimization imaging parameters are recommended. In this way, a method for realizing the weak-contrast image restoration and the personalized precise scanning is achieved. Meanwhile, a large sample knowledge base comprising tissue classification and tissue relaxation characteristics is established. Through the morphological registration and the signal strength standardization, the comparability of individual data and sample data is established. Through the modes of issue recognition, coordinate positioning, signal comparison and relaxation characteristic definition, a relaxation time spectrogram which meets the individual actual condition is deduced. Through the analysis of the individual relaxation time spectrogram, imaging parameters suitable for personalized imaging are calculated. Therefore, the obtained individual relaxation time spectrogram and the imaging parameters can be used for repairing weighted images. According to the invention, the purpose of personalized and precise scanning is achieved. The repeated scanning for repeatedly modifying imaging parameters carried out in order to obtain a high-contrast image is avoided.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, and is a method for realizing magnetic resonance relaxation characteristic deduction, weak contrast magnetic resonance data restoration and individualized precise magnetic resonance imaging based on the magnetic resonance sample knowledge base and the physical principles of magnetic resonance imaging. Background technique [0002] Magnetic resonance imaging is a common and important imaging diagnostic tool in medical diagnosis. The contrast of magnetic resonance images is related to the setting of scanning parameters, and the setting of scanning parameters and the mechanism of contrast generation are mainly based on the spin density between tissues, the longitudinal relaxation time T1 and the transverse relaxation time T2. At present, some work has summarized the average range of T1 / T2 relaxation time in different brain tissues under different magnetic field conditions, which p...

AI Technical Summary

Problems solved by technology

2) The setting of scanning parameters is based on the inherent properties of the tissue (optional density, T1 relaxation time and T2 relaxation time), and most of the T1 / T2 relaxation times provided by existing studies are based on a large number of healthy adult samples The average value, although the adult brain is fully developed, is relatively stable under the premise of excluding pathological changes and age-related decline, but the scanning parameters set with reference to the average relaxation time cannot ensure the optimal imaging for each individual Optimal Imaging Parameters

3) The change of relaxation time mainly depends on the change of water content in brain tissue, and in the same brain, the water content in different tissues shows a nonlinear change with age, this change is particularly significant in infants and young children, and it is difficult to predict

The current imaging method used to calculate the relaxation time takes a long time during the scan, especially for the T1 relaxation time, which requires a scan of more than 30 minutes

This makes it impossible for technicians to obtain the relaxation time of the tested brain tissue in advance before setting the imaging parameters, so as to set the individualized optimal imaging parameters

Images