Optimal virtual monoenergetic image in “TwinBeam” dual‐energy CT for organs‐at‐risk delineation based on contrast‐noise‐ratio in head‐and‐neck radiotherapy

Abstract

Dual‐energy computed tomography (DECT) using TwinBeam CT (TBCT) is a new option for radiation oncology simulators. TBCT scanning provides virtual monoenergetic images which are attractive in treatment planning since lower energies offer better contrast for soft tissues, and higher energies reduce noise. A protocol is needed to achieve optimal performance of this feature. In this study, we investigated the TBCT scan schema with the head‐and‐neck radiotherapy workflow at our clinic and selected the optimal energy with best contrast‐noise‐ratio (CNR) in organs‐at‐risks (OARs) delineation for head‐and‐neck treatment planning.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 28, 2019
Source ID
10.1002/acm2.12539

Entities

People

  • Beth Bradshaw Ghavidel
  • Jonathan J. Beitler
  • Tian Liu
  • Tonghe Wang
  • Walter J. Curran
  • Xiangyang Tang
  • Xiaofeng Yang
  • Yang Lei

Organizations

  • Emory University
  • National Cancer Institute
  • United States Department of Defense

Tags

Fields of Study

  • Medicine
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Oncology