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Journal of Medical Imaging

Anthropomorphic model observer performance in three-dimensional detection task for low-contrast computed tomography
Author(s): Alexandre H. Ba; Miguel P. Eckstein; Damien Racine; Julien G. Ott; Francis R. Verdun; Sabine Kobbe-Schmidt; François O. Bochud
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Paper Abstract

X-ray medical imaging is increasingly becoming three-dimensional (3-D). The dose to the population and its management are of special concern in computed tomography (CT). Task-based methods with model observers to assess the dose-image quality trade-off are promising tools, but they still need to be validated for real volumetric images. The purpose of the present work is to evaluate anthropomorphic model observers in 3-D detection tasks for low-contrast CT images. We scanned a low-contrast phantom containing four types of signals at three dose levels and used two reconstruction algorithms. We implemented a multislice model observer based on the channelized Hotelling observer (msCHO) with anthropomorphic channels and investigated different internal noise methods. We found a good correlation for all tested model observers. These results suggest that the msCHO can be used as a relevant task-based method to evaluate low-contrast detection for CT and optimize scan protocols to lower dose in an efficient way.

Paper Details

Date Published: 29 December 2015
PDF: 11 pages
J. Med. Imag. 3(1) 011009 doi: 10.1117/1.JMI.3.1.011009
Published in: Journal of Medical Imaging Volume 3, Issue 1
Show Author Affiliations
Alexandre H. Ba, Ctr. Hospitalier Univ. Vaudois (Switzerland)
Miguel P. Eckstein, Univ. of California, Santa Barbara (United States)
Damien Racine, Ctr. Hospitalier Univ. Vaudois (Switzerland)
Julien G. Ott, Ctr. Hospitalier Univ. Vaudois (Switzerland)
Francis R. Verdun, Ctr. Hospitalier Univ. Vaudois (Switzerland)
Sabine Kobbe-Schmidt, Ctr. Hospitalier Univ. Vaudois (Switzerland)
François O. Bochud, Ctr. Hospitalier Univ. Vaudois (Switzerland)

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