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Abstract #1145

Minkowski Functionals in MRI: A new texture analysis tool in breast MRI

Michael Fox 1 , Peter Gibbs 1 , Martin Pickles 1 , and Lindsay W. Turnbull 1

1 Centre for MR Investigations, HYMS at University of Hull, Hull, East Yorkshire, United Kingdom

Minkowski Functinals may provide a new method to observe or diagnose breast cancer tumours in MRI, as they have done in CT. Software was created in-house, using 101 threshold levels, to create binary images of segmented breast lesions, from T1W MR images. Three 5th order polynomial fits were created for each of the 100 patients to describe their change in MF values as the threshold was raised. Two-thirds of the measured parameters were able to distinguish between TNEG patient sub-groups, with differences between biopsy grades being found also. This work supports the introduction of Minkowski Functionals into MRI texture analysis.

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