Single-Acquisition Spectral and Ultra-High-Resolution Pediatric Head CT: Phantom Comparison of Deep-Silicon Photon-Counting and Energy-Integrating Detectors

作者
Samuel G Feemster,Ali Rashidi,Navid Azimi,Zhye Yin,Lusik Cherkezyan,Meghan Yue,Brian E. Nett,Amir Pourmorteza
出处
期刊:medRxiv
标识
DOI:10.64898/2026.10.02.26364533
摘要

ABSTRACT Background Deep-silicon photon-counting CT uses a detector architecture distinct from cadmium-telluride systems and has not been evaluated for pediatric head imaging. Objective To compare attenuation-dependent performance of deep-silicon photon-counting CT (dSi-PCCT) with energy-integrating detector CT (EID-CT) and assess spectral and ultra-high-resolution (UHR) reconstructions from one acquisition. Materials and methods Graded-thickness cranial attenuator and pediatric head phantoms were scanned at a matched target volume CT dose index of 18 mGy. dSi-PCCT used 120 kVp and generated 50-, 65-, and 100-keV images; EID-CT used 80 and 100 kVp. We measured CT-number bias, noise, contrast, and contrast-to-noise ratio (CNR) across 0–9 mm of nominal skull thickness. Mixed-effects models assessed imaging-condition effects. We compared matched standard-resolution and UHR temporal-bone images and generated calcium- and water-density maps from the same dSi-PCCT scan. Results Noise increased by 4.54%, 3.07%, and 1.35% per millimeter at 50, 65, and 100 keV, respectively, versus 8.38% and 7.84% at 80 and 100 kVp. Corresponding CNR decreases were 4.17%, 3.25%, and 1.75% versus 8.94% and 8.54% (interaction P < 0.001). Changes in absolute CT-number bias and contrast did not differ among conditions ( P = 0.92 and P = 0.59). In the pediatric head phantom, model-estimated 50-keV CNR ratios were 1.299 (95% CI, 1.163–1.452) versus 80 kVp and 1.424 (95% CI, 1.275–1.592) versus 100 kVp. Across three temporal-bone edges, UHR transition widths were 58.6%–61.9% narrower than standard-resolution widths. Conclusion dSi-PCCT maintained CNR more consistently as nominal skull thickness increased and provided complementary spectral and UHR pediatric head images from one acquisition.

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