Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient study results.
Purpose: Dual-energy (DE) CT enables material decomposition by using two different x-ray energies and may be combined with PET for improved multimodality imaging. However, this increases radiation dose and may require a hardware upgrade due to the added second x-ray CT scan. The recently proposed PE...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 5; pp. 1912 - 1924 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183974310&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183974310 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Apr2025 vid: 52 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183974310 180881543 10.1007/s00259-024-06975-5 183974310 ppf: 1912 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient study results. aug: au: Zhu, Yansong Li, Siqi Xie, Zhaoheng Leung, Edwin K. Bayerlein, Reimund Omidvari, Negar Abdelhafez, Yasser G. Cherry, Simon R. Qi, Jinyi Badawi, Ramsey D. Spencer, Benjamin A. Wang, Guobao affil: https://ror.org/05q8kyc69 Department of Radiology, UC Davis Health, 95817, Sacramento, CA, USA sug: ab: Purpose: Dual-energy (DE) CT enables material decomposition by using two different x-ray energies and may be combined with PET for improved multimodality imaging. However, this increases radiation dose and may require a hardware upgrade due to the added second x-ray CT scan. The recently proposed PET-enabled DECT method allows dual-energy imaging using a conventional PET/CT scanner without the need to change scanner hardware or increase radiation exposure. Here we demonstrate the first-time physical phantom and patient data evaluation of this method. Methods: The PET-enabled DECT method reconstructs a gamma-ray CT (gCT) image at 511 keV from the time-of-flight PET data with the maximum-likelihood attenuation and activity (MLAA) approach and then combines this image with the low-energy x-ray CT images to form a dual-energy image pair for material decomposition. To improve the image quality of gCT, a kernel MLAA method was developed using the x-ray CT as a priori information. Here we developed a general open-source implementation for gCT reconstruction and used this implementation for the first real data validation using both physical phantom study and human-subject study. Results from PET-enabled DECT were compared using x-ray DECT as the reference. Further, we applied the PET-enabled DECT method in another patient study to evaluate bone lesions. Results: Compared to the standard MLAA, results from the kernel MLAA showed significantly improved image quality. PET-enabled DECT with the kernel MLAA was able to generate fractional images that were comparable to the x-ray DECT, with high correlation coefficients for both the phantom study and human subject study (R > 0.99). The application study also indicates that PET-enabled DECT has potential to characterize bone lesions. Conclusion: Results from this study have demonstrated the feasibility of this PET-enabled method for CT imaging and material decomposition. PET-enabled DECT shows promise to provide comparable results to x-ray DECT. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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