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 Citation (Scopus)

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

Fingerprint

Radiotherapy
Image quality
radiation therapy
Demonstrations
simulation
planning
Therapeutics
Imaging techniques
Planning
methodology
Image segmentation
X Ray Computed Tomography
Workflow
curves
figure of merit
organs
pretreatment
learning
X rays
Learning

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

Cite this

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

Task-based image quality assessment in radiation therapy : Initial characterization and demonstration with CT simulation images. / Dolly, Steven R.; Anastasio, Mark A.; Yu, Lifeng; Li, Hua.

Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Vol. 10136 SPIE, 2017. 101360Y.

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

Dolly, SR, Anastasio, MA, 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, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Orlando, United States, 2/12/17. https://doi.org/10.1117/12.2254063
Dolly SR, Anastasio MA, Yu L, Li H. 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. SPIE. 2017. 101360Y https://doi.org/10.1117/12.2254063
Dolly, Steven R. ; Anastasio, Mark A. ; Yu, Lifeng ; Li, Hua. / Task-based image quality assessment in radiation therapy : Initial characterization and demonstration with CT simulation images. Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Vol. 10136 SPIE, 2017.
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