Abstract #3069

High Resolution Isotropic PET/MR imaging using Anatomical Priors for PET Reconstruction

Mohammad Mehdi Khalighi¹, Timothy Deller², Matthew Spangler-Bickell³, Kristen Wangerin², Dawn Holley¹, Kim Halbert¹, Michael Zeineh¹, Greg Zaharchuk¹, Elizabeth Mormino⁴, Andrei Iagaru⁵, and Michael Moseley¹

¹Radiology, Stanford University, Stanford, CA, United States, ²PET/MR Engineering, GE Healthcare, Waukesha, WI, United States, ³Was with: Nuclear Medicine, IRCCS Ospedale San Raffaele, Milan, Italy, ⁴Neurology, Stanford University, Stanford, CA, United States, ⁵Nuclear Medicine, Stanford University, Stanford, CA, United States

The current spatial resolution of PET images is ~4mm for whole body PET/MR. Anatomical MR images with higher resolution and superior SNR, have been used in PET reconstruction to improve the image quality and spatial resolution. However, these methods are generally vulnerable to mismatches between the anatomical image and the true activity distribution. To address this concern, we propose a feature based approach to incorporate anatomical priors in PET image reconstruction, where the location of a voxel or its neighbors doesn't play a direct role and both functional and anatomical images are used to construct the feature space.

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