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

1 Scopus citations

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
PublisherSPIE
Volume10136
ISBN (Electronic)9781510607170
DOIs
StatePublished - 2017
EventMedical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States
Duration: Feb 12 2017Feb 13 2017

Other

OtherMedical 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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    Dolly, S. R., Anastasio, M. A., Yu, L., & Li, H. (2017). Task-based image quality assessment in radiation therapy: Initial characterization and demonstration with CT simulation images. In Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment (Vol. 10136). [101360Y] SPIE. https://doi.org/10.1117/12.2254063