TY - GEN
T1 - Implementation and Image Quality Benefit of a Hybrid-Space PET Point Spread Function
AU - Deller, Timothy W.
AU - Ahn, Sangtae
AU - Jansen, Floris P.
AU - Schramm, Georg
AU - Wangerin, Kristen A.
AU - Spangler-Bickell, Matthew G.
AU - Stearns, Charles W.
AU - Mehdi Khalighi, Mohammad
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - High resolution PET imaging is being driven by recent advances in both scanner hardware and image reconstruction. As a result, images are being reconstructed with smaller pixel sizes and little or no post-reconstruction filtering. In certain circumstances, this combination can lead to distracting image artifacts due to high frequencies introduced by the projectors. We present a method that utilizes PET point spread function (PSF) processing to mitigate these artifacts while preserving image resolution. Our approach includes a "hybrid-space PSF,"with components in both sinogram-space and image space. Radial smoothing of the sinogram data (or a broadened line of response if performing list mode reconstruction) is combined with a spatially invariant image smoothing. Unlike fully-image-based PSF approaches, this method allows a PSF kernel specific to each crystal pair, even when corrected for patient motion. The hybrid-space PSF approach also opens the door to isotope-dependent positron range imaging, by allowing the use of different image-based kernels for isotopes with different positron range, while preserving the same projection-based kernel (which is a function of detector design only). The effectiveness of the hybrid-space PSF approach is demonstrated with a brain 18F-FDG dataset and spatial resolution point sources.
AB - High resolution PET imaging is being driven by recent advances in both scanner hardware and image reconstruction. As a result, images are being reconstructed with smaller pixel sizes and little or no post-reconstruction filtering. In certain circumstances, this combination can lead to distracting image artifacts due to high frequencies introduced by the projectors. We present a method that utilizes PET point spread function (PSF) processing to mitigate these artifacts while preserving image resolution. Our approach includes a "hybrid-space PSF,"with components in both sinogram-space and image space. Radial smoothing of the sinogram data (or a broadened line of response if performing list mode reconstruction) is combined with a spatially invariant image smoothing. Unlike fully-image-based PSF approaches, this method allows a PSF kernel specific to each crystal pair, even when corrected for patient motion. The hybrid-space PSF approach also opens the door to isotope-dependent positron range imaging, by allowing the use of different image-based kernels for isotopes with different positron range, while preserving the same projection-based kernel (which is a function of detector design only). The effectiveness of the hybrid-space PSF approach is demonstrated with a brain 18F-FDG dataset and spatial resolution point sources.
KW - High-resolution imaging
KW - PET
KW - brain imaging
KW - point spread function
KW - spatial resolution
UR - http://www.scopus.com/inward/record.url?scp=85139101228&partnerID=8YFLogxK
U2 - 10.1109/NSS/MIC44867.2021.9875877
DO - 10.1109/NSS/MIC44867.2021.9875877
M3 - Conference contribution
AN - SCOPUS:85139101228
T3 - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
BT - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
A2 - Tomita, Hideki
A2 - Nakamura, Tatsuya
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021
Y2 - 16 October 2021 through 23 October 2021
ER -