Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient results
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| Natura: | Preprint |
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2024
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| author | 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 |
| author_facet | 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 |
| contents | X-ray computed tomography (CT) in PET/CT is commonly operated with a single energy, resulting in a limitation of lacking tissue composition information. Dual-energy (DE) spectral CT enables material decomposition by using two different x-ray energies and may be combined with PET for improved multimodality imaging, but would either require hardware upgrade or increase radiation dose due to the added second x-ray CT scan. Recently proposed PET-enabled DECT method allows dual-energy spectral imaging using a conventional PET/CT scanner without the need for a second x-ray CT scan. A gamma-ray CT (gCT) image at 511 keV can be generated from the existing time-of-flight PET data with the maximum-likelihood attenuation and activity (MLAA) approach and is then combined with the low-energy x-ray CT image to form dual-energy spectral imaging. To improve the image quality of gCT, a kernel MLAA method was further proposed by incorporating x-ray CT as a priori information. The concept of this PET-enabled DECT has been validated using simulation studies, but not yet with 3D real data. In this work, we developed a general open-source implementation for gCT reconstruction from PET data and use this implementation for the first real data validation with both a physical phantom study and a human subject study on a uEXPLORER total-body PET/CT system. These results have demonstrated the feasibility of this method for spectral imaging and material decomposition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_02091 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient results 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 Medical Physics X-ray computed tomography (CT) in PET/CT is commonly operated with a single energy, resulting in a limitation of lacking tissue composition information. Dual-energy (DE) spectral CT enables material decomposition by using two different x-ray energies and may be combined with PET for improved multimodality imaging, but would either require hardware upgrade or increase radiation dose due to the added second x-ray CT scan. Recently proposed PET-enabled DECT method allows dual-energy spectral imaging using a conventional PET/CT scanner without the need for a second x-ray CT scan. A gamma-ray CT (gCT) image at 511 keV can be generated from the existing time-of-flight PET data with the maximum-likelihood attenuation and activity (MLAA) approach and is then combined with the low-energy x-ray CT image to form dual-energy spectral imaging. To improve the image quality of gCT, a kernel MLAA method was further proposed by incorporating x-ray CT as a priori information. The concept of this PET-enabled DECT has been validated using simulation studies, but not yet with 3D real data. In this work, we developed a general open-source implementation for gCT reconstruction from PET data and use this implementation for the first real data validation with both a physical phantom study and a human subject study on a uEXPLORER total-body PET/CT system. These results have demonstrated the feasibility of this method for spectral imaging and material decomposition. |
| title | Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient results |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2402.02091 |