Magnetic Resonance Imaging (MRI) is a medical imaging technique that utilizes radio waves and magnetic fields to detect and map structures within the body. It is a non-invasive form of medical imaging that has become a valuable tool for diagnosing an array of medical conditions. MRI is especially useful to examine the anatomy and function of the brain, spine, joints, organs, and soft tissues. An MRI scanner consists of a powerful magnet surrounded by coils that create a strong magnetic field. This magnetic field is combined with radio waves and gradiometer coils that send and receive signals from the body. It is these signals that are then processed by the MRI computer to create an image. The strength of the magnetic field is important for producing detailed images, typically ranging from 0.5 to 3.0 Tesla. While typically used to produce images, MRI also has the capability of generating functional images. Through the use of contrast agents, MRI can detect changes in specific areas in the body to produce functional images that can indicate changes in tissue perfusion, oxygen saturation, and metabolic activity. By doing so, it can provide valuable information about medical conditions like stroke and metabolic disorders. In conclusion, MRI is an invaluable medical imaging tool for creating detailed images of the body’s structures and functions. It is a non-invasive and painless technique, while also having the capability to generate functional images that provide insight into the body’s metabolic processes. As such, MRI has become a valuable tool in aiding diagnosis and treatment of many medical conditions.
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Yong Xiao Wang, Albany Medical College, United States
Title : The role of beliefs, perception, and behavioural patterns in the evolution of psychophysical disorders
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Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Krishna Moorjani, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Abhay Murthy, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signalling
Ethan Liu, Boston University, United States