Meeting Banner
Abstract #3720

Fast and Robust Framework for PET-MR Attenuation Map Generation with Joint MR Bias Estimation and Tissue Segmentation

Dattesh D. Shanbhag1, Sheshadri Thiruvenkadam1, Sandeep Kaushik1, Gaspar Delso2, Scott D. Wollenweber3, Sonal Ambwani3, Rakesh Mullick1, Florian Wiesinger4

1GE Global Research, Bangalore, Karanataka, India; 2GE Healthcare, Glattbrugg, Zurich, Switzerland; 3GE Healthcare, Waukesha, WI, United States; 4GE Global Research, Garching b. Munchen, Bavaria, Germany

MR-based PET attenuation correction (AC) is a prerequisite for quantitative PET and a key determining factor for the success of PET/MR. RF shading with phased array coils results in segmentation based MR-AC map generation failure. In this work we present a novel approach for MR-AC map generation within the phase field based framework based on joint estimation/correction of the RF shading and tissue segmentation maps using Dixon MRI images. The method provides for parameter variation resilient body contour and tissue class segmentation, obviates the need to re-tune the algorithm for specific cohort of data acquisition and coils and results in simplified workflow for PET-MR attenuation map generation.

Keywords

accentuation acquisition addition advantages affect approximation around array arrow artifact artifacts attenuation audience avoiding background bias body breathing calibration class clinical close coil coils combination combined consisted context contour contrasts corrected correction cost coverage cyan database descent described despite discovery domain dual edge efficiency enabled encoding energy estimation even excellent fast field filtering flex formulation framework function generate generation global good gradient growing implicit imposed initial insight integrated intensity joint jointly kernels knowledge labeling last lends linear locally lung lungs manually maps mask methodology mitigated model much need noise novel obviates optimal parallel patient performance physicists prep prerequisite presence previously primarily processed processing proposed providing quantitative reasonable receive reconstruction recovery relate reliable represents resolution resolved robust seek segmentation sensitivity severe shaded shading simple simulated slices smooth solutions spacing station successfully suggested synthetic system systems target technical term terms thereby thresholding tissue toolkit transmit trial true type variations visually water whole yellow