Assessment of Material Identification Errors, Image Quality, and Radiation Doses Using Small Animal Spectral Photon-Counting CT

Autor: Anthony Butler, Jerome Damet, Joe Healy, Chiara Lowe, Nanette Schleich, Emmanuel Marfo, Aamir Y. Raja, Alexander I. Chernoglazov, Mahdieh Moghiseh, Pierre Carbonez, Nigel G. Anderson
Rok vydání: 2021
Předmět:
Zdroj: IEEE Transactions on Radiation and Plasma Medical Sciences. 5:578-587
ISSN: 2469-7303
2469-7311
DOI: 10.1109/trpms.2020.3003260
Popis: Photon-counting CT offers the potential to provide new diagnostic information. In this study, we sought to determine the interplay between material identification errors, image quality indicators, and radiation doses using photon-counting spectral CT, and to determine whether this relationship is replicated in spectral CT scans of mice. Custom-built Perspex phantoms were used to measure signal-to-noise ratio (SNR) and spatial resolution, and to measure radiation dose using thermoluminescent dosimeters. A multicontrast calibration phantom containing inserts with different concentrations of gadolinium (1, 2, 4, and 8 mg/mL), hydroxyapatite rods (0, 54.3, 104.3, 211.7, 402.3, and 808.5 mg/mL) along with water and lipid was used to assess material identification errors. Image acquisition was performed using the MARS photon-counting scanner with four energy channels (30–45, 45–60, 60–78, and 78–118 keV) at four different tube currents (24, 34, 44, and $55~\mu \text{A}$ ). As increased tube current showed no significant effect on material characterization, small animal dosimetry was performed with 24- $\mu \text{A}$ tube current using two noncontrast mice and one mouse injected with gadolinium. Results demonstrated that a tube current increase from 24 to $54~\mu \text{A}$ improved the SNR and spatial resolution by 160%. Imaging results of the mice showed no obvious artefacts, and the mean absorbed dose measured for the three mice was 27.3±2.4 mGy. The results suggest that the energy resolving capability of photon-counting CT maintains diagnostically relevant image quality with high levels of material discrimination at reduced radiation dose.
Databáze: OpenAIRE
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