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Photon Counting CT of the Head: Retrospective Analysis of Image Quality and Dose in Comparison to Energy Integrating
Denise Schoenbeck1, Jan Robert Kroeger1, Christoph Moenninghoff1
1Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany (D.S., J.R.K., C.M., J.H.N., J.B.).
Rationale And Objectives:
Non-contrast computed tomography (CT) of the head (NCCT) is one of the most frequently performed CT examination in emergency settings. Photon-counting detector CT (PCD-CT) promises reduced radiation dose and improved image quality, yet systematic data for NCCT - particularly under varying acquisition parameters - remain scarce.
Materials And Methods:
In this retrospective study, patients undergoing NCCT with PCD-CT at 120 and 140 kVp and varying radiation doses were compared with patients scanned on a modern energy-integrating detector (EID-CT) system. Each PCD-CT subgroup was evaluated separately and compared with the EID-CT group using both quantitative and qualitative analyses. Quantitative assessment employed 16 regions of interest (ROIs), for qualitative analysis images were rated by four radiologists using five-point Likert scales.
Results:
In total, 428 patients were included. On PCD-CT, virtual monoenergetic images (VMI) 65 keV at 120 kVp demonstrated the best quantitative image parameters. At comparable radiation dose noise was lower for EID-CT in several cortical regions (p ≤ 0.01). Contrast was higher for EID-CT at most brain locations (p < 0.05), except in the inferior caudate head and thalamus. In contrast, subjective image quality assessment showed higher ratings for PCD-CT regarding noise (4.60 ± 0.61 vs. 3.94 ± 0.93; p < 0.001) and overall image quality (4.43 ± 0.63 vs. 4.08 ± 0.93; p = 0.02), with substantial interreader reliability.
Conclusion:
PCD-CT achieved comparable radiation dose and superior subjective image quality compared to a modern EID-CT for NCCT, although some objective quantitative parameters favored EID-CT. Further optimization of reconstruction algorithms, particularly polyenergetic reconstructions, may unlock the full potential of PCD-CT for routine neuroimaging.
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