A new discovery in the field of magnetic resonance imaging (MRI) is expected to improve the diagnosis rate and monitoring effect of brain diseases such as multiple sclerosis. The researchers pointed out that the research results from the Sir Peter Mansfield Magnetic Resonance Center at the University of Nottingham in the United Kingdom may provide a new tool for magnetic resonance imaging in the medical community.
The study, published in the Proceedings of the National Academy of Sciences, published a few days ago, reveals why brain images generated using new magnetic resonance imaging techniques are so sensitive to nerve fiber trends.
Micro nerve fibers transmit information in the form of microelectronic signals. The white matter of the brain is composed of billions of micro nerve fibers. The researchers pointed out that each nerve fiber is surrounded by a fatty substance called myelin, which can increase the speed of these electronic signals.
Previous studies have shown that the appearance of white matter in magnetic resonance images depends on the angle between nerve fibers and the direction of the extremely strong magnetic field used by the magnetic resonance imaging scanner.
Using knowledge of the molecular structure of myelin, physicists at the University of Nottingham have invented a new model in which nerve fibers are represented by long, thin, hollow tubes with special (anisotropic) magnetism.
This model explains that image contrast depends on the fiber orientation in the white matter of the brain, and also has the potential to infer information such as the size and orientation of nerve fibers from magnetic resonance images.
Samuel Wharton, who participated in the study, said: "Most of the research based on magnetic resonance imaging focuses on the measurement of human tissue in millimeters. The scanning experiments we performed on healthy volunteers and the marrow Sheath models have shown that using relatively simple imaging techniques can generate more specific microscopic information of nerve fibers such as size and orientation. â€He added:â€œ These results will provide clinicians with more information to identify and determine the brain Injury or abnormal conditions will also help them choose a scanning method suitable for a particular patient. "
Richard Bowtell, head of the Department of Physics and Astronomy at the University of Nottingham, added: "For the biomedical imaging community, these results should play an important role."
Nikolaos Evangelou, associate clinical professor specializing in multiple sclerosis at the University of Nottingham Hospital Trust Center, believes: "This study opens up new ways to observe nerve fibers in the brain. The more we understand the nerve and the myelin around it, the better Success in studying brain diseases such as multiple sclerosis. "
Evangelou said: "Our recent progress in understanding and treating multiple sclerosis is based on reliable basic research, one of which is provided by Dr. Wharton and Professor Bowtell."
The researchers believe that this study will enable scientists and clinicians around the world to better understand the effects of nerve fibers and their orientation differences on magnetic resonance imaging, and to diagnose and monitor multiple sclerosis It also has potential uses in brain and nervous system diseases.
Magnetic resonance imaging is based on the principle of nuclear magnetic resonance, according to the different attenuation of the released energy in different structural environments inside the substance, and the electromagnetic waves emitted by the external gradient magnetic field detection can know the position and type of the nucleus that constitute this object. Based on this, it can be drawn as a structure image inside the object. Using this technique for imaging the internal structure of the human body produces a revolutionary medical diagnostic tool. The application of the rapidly changing gradient magnetic field has greatly accelerated the speed of nuclear magnetic resonance imaging, made the application of this technology in clinical diagnosis and scientific research a reality, and greatly promoted the rapid development of medicine, neurophysiology and cognitive neuroscience.
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