arXiv (OAI Expanded)
open access
JSolver: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections
Multi-material decomposition (MMD) enables quantitative reconstruction of tissue compositions in the human body, supporting a wide range of clinical applications. However, traditional MMD typically requires spectral CT scanners and pre-measured X-ray energy spectra, significantly limiting clinical a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Enhanced attenuation modelling for multispectral computed tomography#1064008
- $K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs#925203
- $K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs#920968
- Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction#1130207
- RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction#670577
Record · ID 1070681
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive