Skip to content

Physics in Medicine & Biology

· 0 citations · 49 references

TL;DR

This study demonstrates the feasibility of DE CBCT technology on the HyperSight imaging system through a novel statistical material specific imaging algorithm and VMI-based CNR improvements and metal artifact reduction.

View source

Similar papers

Open access Sep 2026

Development of a novel material specific imaging algorithm and dual-energy CBCT technology for the next generation imaging solution on O-ring linacs

This study demonstrates the feasibility of DE CBCT technology on the HyperSight imaging system through a novel statistical material specific imaging algorithm and VMI-based CNR improvements and metal artifact reduction.

Bryanna Smith, M. Sattarivand · 0 citations
Aug 2026

Material-dependent effects of x-ray pre-filtration on material decomposition in photon-counting CT

These results demonstrate that optimal filtration strategies for PCCT are material dependent, and provide guidance for filter selection at PCCT MD applications, particularly those involving tantalum contrast agents, dual-contrast protocols pairing low and high-Z materials, or high-energy virtual monoenergetic image rec...

J. D. Aubrey, E. P. Perkinson, Ge Wang et al. · 0 citations
Aug 2026

An automated geometric modeling framework in GATE for the design and optimization of high-sensitivity converging-beam SPECT collimators

The results demonstrate that the proposed CBC design offers a significant sensitivity advantage, making it highly suitable for high-performance, small-volume clinical applications such as brain and cardiac molecular imaging.

F. Weng, Gao-Yu Chen, Yun-Long Zan et al. · 0 citations

Current Medical Imaging

Electron density provides a significantly better CNR for liver metastases with electron density derived from dual-energy computed tomography compared with both conventional and VMI at 40 keV reconstructions, in both the unenhanced and portal-dominant phases.

C. Chabrier, Maxime Leroy, P. Ernst · 0 citations

Physics in Medicine & Biology

The proposed framework improves dose prediction while incorporating physically meaningful priors into the learning process, offering a promising basis for PET-based dose-monitoring model development in CIRT.

Yan Li, Wei-Guang Li, Xin-Yu Hu et al. · 0 citations

WashU Scholarly

While sharper kernels and lower monoenergetic bins increased noise and reduced CNRD, they significantly improved spatial resolution, achieving sub-millimeter feature detectability in one patient, supporting feasible lesion detectability under these thresholds.

Unknown authors · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.