Abstract #3550

Robust spatial and temporal unwrapping for accurate quantitative susceptibility mapping

Alex Ensworth¹, Véronique Fortier^1,2, Jorge Campos Pazmino¹, and Ives R Levesque^1,2,3,4

¹Medical Physics Unit, McGill University, Montreal, QC, Canada, ²Biomedical Engineering, McGill University, Montreal, QC, Canada, ³Research Institute of the McGill University Health Centre, Montreal, QC, Canada, ⁴Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada

Phase data for quantitative susceptibility mapping must be unwrapped to remove ambiguities due to limitations in the collected data. This work demonstrates the advantages of quality-guided region-growing over conventionally used methods and introduces a general method to correct for temporal discontinuities introduced by path-based spatial unwrapping methods. The unwrapping approaches were evaluated in 11 in vivo datasets presenting a variety of phase profiles.

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