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Abstract #3097

Analysis of Diffusion Values for Automated Segmentation of Stroke Infarct

Venkata Veerendranadh Chebrolu1, Suresh E. Joel1, Dattesh D. Shanbhag1, Catherine Oppenheim2, Patrice Hervo3, Marc-Antoine Labeyrie2, Rakesh Mullick1

1GE Global Research, Bangalore, Karnataka, India; 2Departments of Radiology and Neurology, Centre Hospitalier, Sainte-Anne, Paris, France; 3GE Healthcare, Buc, France

Automatic segmentation of stroke volume is critical for timely treatment decision. The performance of automated segmentation algorithms depends on the thresholds set on the infarcted and normal tissues Apparent Diffusion Coefficient (ADC) values. Here we report the statistical analysis of ADC and DWI values within the infarct and normal brain tissue in 62 patients imaged at the onset (Day 0) and in 51 patients after 24 hours (Day 1) of acute ischemic stroke event. Based on the receiver operating characteristic (ROC) analysis, we suggest an ADC threshold of 0.745 and 0.755 for Day 0 and Day 1 respectively.