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Abstract #0678

A Rapid, Robust, Anatomy and Atlas Guided Lesion Quantification Framework from Diffusion Weighted MR Images

Sumit K. Nath1, Dattesh Dayanand Shanbhag1, Rakesh Mullick1, Uday Patil1, Marie Luby2, Katherine D. Ku2, Lawrence L. Latour2, Steven Warach2, - NINDS Natural History of Stroke Investigators2

1Imaging Technologies, GE Global Research, Bangalore, Karnataka, India; 2NINDS, NIH, Bethesda, MD, United States

A novel anatomical and atlas guided split-and-merge algorithm is presented for quantifying potential lesions in diffusion weighted MR images. Compared with a conventional non split-and-merge method, our approach leads to highly improved results when analyzed with ground truth.