title: Designing gradient coils with reduced hot spot temperatures.
abstract: Gradient coil temperature is an important concern in the design and construction of MRI scanners. Closely spaced gradient coil windings cause temperature hot spots within the system as a result of Ohmic heating associated with large current being driven through resistive material, and can strongly affect the performance of the coils. In this paper, a model is presented for predicting the spatial temperature distribution of a gradient coil, including the location and extent of temperature hot spots. Subsequently, a method is described for designing gradient coils with improved temperature distributions and reduced hot spot temperatures. Maximum temperature represents a non-linear constraint and a relaxed fixed point iteration routine is proposed to adjust coil windings iteratively to minimise this coil feature. Several examples are considered that assume different thermal material properties and cooling mechanisms for the gradient system. Coil winding solutions are obtained for all cases considered that display a considerable drop in hot spot temperature (>20%) when compared to standard minimum power gradient coils with equivalent gradient homogeneity, efficiency and inductance. The method is semi-analytical in nature and can be adapted easily to consider other non-linear constraints in the design of gradient coils or similar systems.
authors.affiliation: School of Mathematics & Physics, University of Tasmania, Private Bag 37, Hobart, Tasmania 7001, Australia. pwhile@utas.edu.au
authors.forename: Peter T
authors.initials: PT
authors.lastname: While
authors.forename: Larry K
authors.initials: LK
authors.lastname: Forbes
authors.forename: Stuart
authors.initials: S
authors.lastname: Crozier
mesh_terms: D000465:Algorithms; D004574:Electromagnetic Fields; D004581:Electronics; D004867:Equipment Design; D006358:Hot Temperature; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted