Super-resolution reconstruction of γ -ray CT images for PET-enabled dual-energy CT imaging.

Autor:	Zhu Y; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA., Spencer BA; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA.; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA., Xie Z; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA., Leung EK; UIH America, Inc., Houston, TX, 77054, USA., Bayerlein R; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA., Omidvari N; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA., Cherry SR; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA.; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA., Qi J; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA., Badawi RD; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA.; Department of Biomedical Engineering, University of California Davis, Davis, CA, 95616, USA., Wang G; Department of Radiology, University of California Davis Medical Center, Sacramento, CA, 95817, USA.
Jazyk:	angličtina
Zdroj:	Proceedings of SPIE--the International Society for Optical Engineering [Proc SPIE Int Soc Opt Eng] 2024 Feb; Vol. 12463. Date of Electronic Publication: 2023 Apr 07.
DOI:	10.1117/12.2654431
Abstrakt:	Dual-energy computed tomography (DECT) enables material decomposition for tissues and produces additional information for PET/CT imaging to potentially improve the characterization of diseases. PET-enabled DECT (PDECT) allows the generation of PET and DECT images simultaneously with a conventional PET/CT scanner without the need for a second x-ray CT scan. In PDECT, high-energy γ -ray CT (GCT) images at 511 keV are obtained from time-of-flight (TOF) PET data and are combined with the existing x-ray CT images to form DECT imaging. We have developed a kernel-based maximum-likelihood attenuation and activity (MLAA) method that uses x-ray CT images as a priori information for noise suppression. However, our previous studies focused on GCT image reconstruction at the PET image resolution which is coarser than the image resolution of the x-ray CT. In this work, we explored the feasibility of generating super-resolution GCT images at the corresponding CT resolution. The study was conducted using both phantom and patient scans acquired with the uEXPLORER total-body PET/CT system. GCT images at the PET resolution with a pixel size of 4.0 mm × 4.0 mm and at the CT resolution with a pixel size of 1.2 mm × 1.2 mm were reconstructed using both the standard MLAA and kernel MLAA methods. The results indicated that the GCT images at the CT resolution had sharper edges and revealed more structural details compared to the images reconstructed at the PET resolution. Furthermore, images from the kernel MLAA method showed substantially improved image quality compared to those obtained with the standard MLAA method.
Databáze:	MEDLINE
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