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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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