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Abstract #0418

Partial Volume Correction of 3D GRASE ASL images using T1 maps acquired with the same readout scheme

Ruth Oliver 1 , Enrico De Vita 1 , Xavier Golay 1 , and David Thomas 1

1 Institute of Neurology, University College London, London, United Kingdom

Partial volume effects due to low spatial resolution are known to introduce errors in quantification of perfusion estimates using ASL. This is particularly problematic in patients where atrophy is and cortical thinning occurs. The most common correction methods are based on segmentations of anatomical data which are transformed to perfusion space. This can introduce a significant error into the correction method. A comparison is made of partial volume corrected grey matter flow values using segmentations derived from anatomical data and GRASE data, for single time point ASL.

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