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Abstract #1874

MR Quantification: An automated self-normalization technique to reduce variability in functional maps.

Arun GovindaRao 1 , Ramesh Venkatesan 1 , Uday Patil 2 , and Abhishek Goyal 1

1 Healthcare, General Electric, Bangalore, Karnataka, India, 2 GE Global Research, General Electric, Bangalore, Karnataka, India

MRI though considered being an advanced technique for clinical diagnosis has not been accepted clinically as a quantification tool. Reliable and reproducible results have always been a challenge for MRI. For perfusion analysis, commercial vendors report relative functional maps due to various factors that prevent quantification. The criticality in reporting quantitative values is needed in perfusion based analysis. Stroke for example, decision for selection of candidates that require tPA is an task for clinicians using relative values, Quantification can help identify candidates accurately. Automated approach for normalizing the functional maps can reduce user induced variability leading towards more reproducible results.

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