Learning-Based Stopping Power Mapping on Dual-Energy CT for Proton Radiation Therapy

Purpose: Dual-energy computed tomography (DECT) has been used to derive relative stopping power (RSP) maps by obtaining the energy dependence of photon interactions. The DECT-derived RSP maps could potentially be compromised by image noise levels and the severity of artifacts when using physics-base...

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Bibliografski detalji

Glavni autori:	Tonghe Wang, PhD, Yang Lei, PhD, Joseph Harms, PhD, Beth Ghavidel, MS, Liyong Lin, PhD, Jonathan J. Beitler, MD, Mark McDonald, MD, Walter J. Curran, MD, Tian Liu, PhD, Jun Zhou, PhD, Xiaofeng Yang, PhD
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2021-02-01
Serija:	International Journal of Particle Therapy
Teme:	stopping power dual-energy ct proton therapy machine learning
Online pristup:	https://theijpt.org/doi/pdf/10.14338/IJPT-D-20-00020.1
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