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Abstract #2508

Automatic Detection of Metal Implant Location in Hexagonally Sampled MAVRIC-SL

Bragi Sveinsson 1 , Valentina Taviani 1 , Garry Gold 1 , and Brian Hargreaves 1

1 Radiology, Stanford University, Stanford, CA, United States

Multi-spectral Imaging (MSI) allows imaging close to metal implants at the cost of increased scan time. Previous work has demonstrated how MSI scan time can be shortened by hexagonally undersampling ky/kz-space and removing the resulting aliased replicas using a zeroing mask. This required the extra step of the operator providing the approximate location of the implant to the reconstruction software. In this work, we demonstrate how the detection of the implant location can be fully automated by hexagonally sampling adjacent slices in a complementary manner and combining the bins to get an estimate of the slice profile with minimal aliasing.

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