Abstract
Photon-counting computed tomography (PCCT) offers better high-resolution and noise performance than energy integrating detector (EID) CT. In this work, we compared both technologies for imaging of the temporal bone and skull base. A clinical PCCT system and 3 clinical EID CT scanners were used to image the American College of Radiology image quality phantom using a clinical imaging protocol with matched CTDIvol (CT dose index-volume) of 25 mGy. Images were used to characterize the image quality of each system across a series of high-resolution reconstruction options. Noise was calculated from the noise power spectrum, whereas resolution was quantified with a bone insert by calculating a task transfer function. Images of an anthropomorphic skull phantom and 2 patient cases were examined for visualization of small anatomical structures. Across measured conditions, PCCT had a comparable or smaller average noise magnitude (120 Hounsfield units [HU]) to the EID systems (144-326 HU). Photon-counting CT also had comparable resolution (task transfer function f25: 1.60 mm-1) to the EID systems (1.34-1.77 mm-1). Imaging results supported quantitative findings as PCCT more clearly showed the 12-lp/cm bars from the fourth section of the American College of Radiology phantom and better represented the vestibular aqueduct and oval and round windows when compared with the EID scanners. A clinical PCCT system was able to image the temporal bone and skull base with improved spatial resolution and lower noise than clinical EID CT systems at matched dose.
Original language | English |
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Pages (from-to) | 613-620 |
Number of pages | 8 |
Journal | Journal of Computer Assisted Tomography |
Volume | 47 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2023 |
Externally published | Yes |
Funding
This work was supported by the NIH Graduate Partnership Program and NIH (P41EB028744). The content of this manuscript does not necessarily reflect the views or policies of the Department of Health and Human Services; nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government. The authors thank Juan-Carlos Ramirez-Giraldo with assistance in data acquisition and useful discussion. The authors acknowledge departmental support from Siemens Healthineers for this project.
Funders | Funder number |
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National Institutes of Health | P41EB028744 |
Siemens Medical Solutions USA |
Keywords
- computed tomography
- high-resolution
- photon-counting
- skull base