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Abstract #5107

Impact of Motion and Symmetry Correction on Perfusion Lesion Segmentation in Acute Ischemic Stroke: Quantitative Evaluation

Dattesh D. Shanbhag1, Rakesh Mullick1, Sumit K. Nath1, Catherine Oppenheim2, Marie Luby3, Katherine D. Ku3, Lawrence L. Latour3, Steven Warach3, - NINDS Natural History of Stroke Investigators3

1Imaging Technologies, GE Global Research, Bangalore, Karnataka, India; 2Department of Neuroradiology, Universit Paris-Descartes, Paris, France; 3NINDS, NIH, Bethesda, MD, United States

In context of acute ischemic stroke, we demonstrate that motion correction on PWI data should be used only if motion is detected, rather than as a standard pre-processing recipe in analysis pipeline. A motion detection scheme based on image moments is shown to be effective in capturing motion during phase volumes. Since the motion correction is the rate-limiting step in PWI data analysis pipeline, moment based motion detection and selective motion correction can result in significant time saving for processing PWI data. Symmetry correction, a step commonly used for contralateral analysis, produces lower estimates of perfusion lesion volumes if applied retrospectively on quantitative maps rather than on bolus signal volumes.