The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: A phantom study

Qin Li, Benjamin P. Berman, Justin Schumacher, Yongguang Liang, Marios A. Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick

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

1 Scopus citations

Abstract

Tumor volume measured from computed tomography images is considered a biomarker for disease progression or treatment response. The estimation of the tumor volume depends on the imaging system parameters selected, as well as lesion characteristics. In this study, we examined how different image reconstruction methods affect the measurement of lesions in an anthropomorphic liver phantom with a non-uniform background. Iterative statistics-based and model-based reconstructions, as well as filtered back-projection, were evaluated and compared in this study. Statistics-based and filtered back-projection yielded similar estimation performance, while model-based yielded higher precision but lower accuracy in the case of small lesions. Iterative reconstructions exhibited higher signal-to-noise ratio but slightly lower contrast of the lesion relative to the background. A better understanding of lesion volumetry performance as a function of acquisition parameters and lesion characteristics can lead to its incorporation as a routine sizing tool.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationComputer-Aided Diagnosis
EditorsNicholas A. Petrick, Samuel G. Armato
PublisherSPIE
ISBN (Electronic)9781510607132
DOIs
StatePublished - 2017
Externally publishedYes
EventMedical Imaging 2017: Computer-Aided Diagnosis - Orlando, United States
Duration: Feb 13 2017Feb 16 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10134
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2017: Computer-Aided Diagnosis
Country/TerritoryUnited States
CityOrlando
Period2/13/172/16/17

Keywords

  • Biomarker
  • IR
  • Lesion sizing
  • Matched filter
  • Quantitative imaging
  • Volumetric

ASJC Scopus subject areas

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

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