Isis Innovation Limited

Olivier Noterdaeme

Michael J Brady

Intensity inhomogeneities can obscure areas of interest and are problematic for MR image segmentation algorithms. An efficient approach to estimating these inhomogeneities by computing a calibration factor that is a function of an estimated bias field from a series of calibration scans is disclosed. This enables correction of TW and TW images by reducing inhomogeneities without the need to map Tand T. Because of interest in the shape of the intensity inhomogeneities a limited number of flip angles yield satisfactory performance. Additionally, an RF transmit field Bcan be estimated and inhomogeneities resulting from the Bfield reduced from the MR image using the estimated Bfield.

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Oxford, United Kingdom

Olivier Noterdaeme