Abstract #1555

The Effect of Large Slice Thickness and Spacing and Low Coverage on the Accuracy of Susceptibility Mapping

Anita Karsa¹, Emma Biondetti¹, Shonit Punwani², and Karin Shmueli¹

¹Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ²Centre for Medical Imaging, University College London, London, United Kingdom

Susceptibility Mapping has emerging clinical applications. To reduce scan time, clinical images are often acquired with large slice spacing/thickness and reduced coverage. The effect of these factors on susceptibility maps has not been investigated. Here, we develop a simple framework to explore the effect of low-resolution and low-coverage in the slice dimension on the accuracy of susceptibility maps. Our experiments with digital phantoms and volunteer images have shown that the error in the estimated susceptibility increases substantially with increasing slice spacing/thickness and decreasing coverage. These results underscore the need for high-resolution, full-coverage acquisitions for accurate susceptibility mapping.

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