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High Resolution PET/MR Imaging Using Anatomical Priors & Motion Correction
Mehdi Khalighi1, Timothy Deller2, Floris Jansen2, Mackenzie Carlson3, Tyler Toueg4, Steven Tai Lai1, Dawn Holley1, Kim Halbert1, Elizabeth Mormino4, Jong Yoon1, Greg Zaharchuk1, and Michael Zeineh1
1Radiology, Stanford University, Stanford, CA, United States, 2Engineering Dept., GE Healthcare, Waukesha, WI, United States, 3Bioengineering, Stanford University, Stanford, CA, United States, 4Neurology, Stanford University, Stanford, CA, United States
PET image reconstruction with anatomical priors is used within the framework of rigid motion correction for PET/MR brain images to address the co-registration problem between anatomical priors and PET coincident events. The results show improved image resolution in addition to higher SNR.
Figure 2: Comparison of 11C-UCBJ PET images reconstructed with conventional BSREM (top row), MR guided BSREM using the anatomical priors without motion correction (middle row) and MR guided BSREM with motion correction (bottom row). MR guided BSREM shows better SNR and higher image resolution compared to the BSREM method; however, as shown by red arrows, incorporating motion correction into MR guided BSREM (bottom row), results in a sharper image with crisper edges.
Figure 4: Comparison of 18F-PI2620 PET images reconstructed with conventional BSREM (top row), MR guided BSREM using the anatomical priors without motion correction (middle row) and MR guided BSREM with motion correction (bottom row). MR guided BSREM shows better SNR and higher image resolution compared to the BSREM method and as shown by red arrows (e.g., pituitary gland and right occipital & parietal cortex), incorporating motion correction into MR guided BSREM (bottom row), results in a sharper image; however, because of the lower counts on this exam, less improvement is observed.