Fuzzy logic controller for the whole body NMR imaging system

Nuclear magnetic resonance imaging (NMR imaging) machines provide pictorial anatomical information about the physiological state of internal organs without the use of X-rays, and of all imaging methods, gives the most sensitive discrimination between healthy and diseased tissue. The resolution of whole body NMR imaging is limited by the accuracy and stability of the field gradient (FG) system. This paper considers the application of real-time fuzzy logic control to a field gradient system using a floating point digital signal processor (TMS320C40) to increase image resolution.