Abstract #4371

Automated Workflow for MR-PET Attenuation Correction in a Tri-Modality System Using Dixon Fat-Water Imaging Based Tissue Classification

Dattesh D. Shanbhag¹, Sheshadri Thiruvenkadam¹, Sandeep Kaushik¹, Rakesh Mullick², Scott D. Wollenweber³, Florian Wiesinger⁴

¹Medical Image Analysis Laboratory, GE Global Research, Bangalore, Karnataka, India; ²GE Global Research, Biosignatures & Signal Processing, Bangalore, Karnataka, India; ³GE Healthcare, PET Clinical Science, Waukesha, WI, United States; ⁴Diagnostics & Biomedical Tech Laboratory, GE Global Research, Garching b. Munchen, Germany

We have demonstrated an automated workflow for generation of the attenuation map for body Dixon-based MRI for PET attenuation correction. The use of a tri-modality system with dedicated patient transporter results in minimal degree of motion between PET-CT and MRI scans and thereby improves the validation accuracy of attenuation correction of MR-PET system with gold standard PET-CT system.