
doi: 10.1002/mrm.24492
pmid: 23042696
Ohmic heating is a serious problem in gradient coil operation. A method is presented for redesigning cylindrical gradient coils to operate at minimum peak temperature, while maintaining field homogeneity and coil performance. To generate these minimaxT coil windings, an existing analytic method for simulating the spatial temperature distribution of single layer gradient coils is combined with a minimax optimization routine based on sequential quadratic programming. Simulations are provided for symmetric and asymmetric gradient coils that show considerable improvements in reducing maximum temperature over existing methods. The winding patterns of the minimaxT coils were found to be heavily dependent on the assumed thermal material properties and generally display an interesting “fish‐eye” spreading of windings in the dense regions of the coil. Small prototype coils were constructed and tested for experimental validation and these demonstrate that with a reasonable estimate of material properties, thermal performance can be improved considerably with negligible change to the field error or standard figures of merit. Magn Reson Med 70:584–594, 2013. © 2012 Wiley Periodicals, Inc.
Hot Temperature, Phantoms, Imaging, Transducers, Gradient coil design, Temperature, Thermal performance, Reproducibility of Results, 600, Equipment Design, Models, Theoretical, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Heating, Equipment Failure Analysis, Magnetics, 2741 Radiology Nuclear Medicine and imaging, Computer-Aided Design, Computer Simulation, Strength, Minimax optimization, Artifacts
Hot Temperature, Phantoms, Imaging, Transducers, Gradient coil design, Temperature, Thermal performance, Reproducibility of Results, 600, Equipment Design, Models, Theoretical, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Heating, Equipment Failure Analysis, Magnetics, 2741 Radiology Nuclear Medicine and imaging, Computer-Aided Design, Computer Simulation, Strength, Minimax optimization, Artifacts
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