Task-based image quality assessment in radiation therapy: Initial characterization and demonstration with CT simulation images

Steven R. Dolly, Mark A. Anastasio, Lifeng Yu, Hua Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In current radiation therapy practice, image quality is still assessed subjectively or by utilizing physically-based metrics. Recently, a methodology for objective task-based image quality (IQ) assessment in radiation therapy was proposed by Barrett et al.1 In this work, we present a comprehensive implementation and evaluation of this new IQ assessment methodology. A modular simulation framework was designed to perform an automated, computer-simulated end-to-end radiation therapy treatment. A fully simulated framework was created that utilizes new learning-based stochastic object models (SOM) to obtain known organ boundaries, generates a set of images directly from the numerical phantoms created with the SOM, and automates the image segmentation and treatment planning steps of a radiation therapy workflow. By use of this computational framework, therapeutic operating characteristic (TOC) curves can be computed and the area under the TOC curve (AUTOC) can be employed as a figure-of-merit to guide optimization of different components of the treatment planning process. The developed computational framework is employed to optimize X-ray CT pre-treatment imaging. We demonstrate that use of the radiation therapy-based-based IQ measures lead to different imaging parameters than obtained by use of physical-based measures.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
EditorsRobert M. Nishikawa, Matthew A. Kupinski
PublisherSPIE
ISBN (Electronic)9781510607170
DOIs
StatePublished - Jan 1 2017
Externally publishedYes
EventMedical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States
Duration: Feb 12 2017Feb 13 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10136
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CityOrlando
Period2/12/172/13/17

Keywords

  • Radiation therapy
  • Task-based image quality assessment

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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