Radiology Advances Podcast | RSNA

Episode 12: Deep Silicon Photon Counting CT for Liver Fat


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This episode features a cutting-edge study from Radiology Advances exploring Deep Silicon Photon-Counting CT (DS-IPCCT) for liver fat quantification. Using in silico models, the investigational system demonstrated high spectral accuracy, robust material decomposition, and low error rates—potentially overcoming key limitations of conventional CT and MRI.

Liver fat quantification using deep silicon photon-counting CT: an in silico imaging study. Panta et al. Radiology Advances, 2025, 2(5), umaf031.

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Radiology Advances Podcast | RSNABy The Radiological Society of North America