Hardware assessment using the multi-module, multi-resolution system (M 3 R): A signal-detection study

Jacob Y. Hesterman, Matthew A. Kupinski, Eric Clarkson, Harrison H. Barrett

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The multi-module, multi-resolution system (M3 R) is used for hardware assessment in objective, task-based signal detection studies in projection data. A phantom capable of generating multiple realizations of a random textured background is introduced. Measured backgrounds from this phantom are used along with simulated lumpy and uniform backgrounds to investigate signal-to-noise ratio as a function of exposure time. Results are shown to agree with theoretical predictions, exhibiting a power-law like dependence previously seen for studies performed either in simulation or without an imaging system, and help validate the use of simulated lumpy backgrounds in observer studies. A second study looks at signal-detection performance, measured by AUC (area under the receiver operating characteristic curve), in lumpy backgrounds for 20 M 3 R aperture combinations as a function of lump size and signal size. Observer performance reveals an improvement in AUC for certain ranges of signal and lump combinations through the use of multiplexed, multiple-pinhole apertures, indicating a need for task-specific aperture optimization. The channelized Hotelling observer is used with Laguerre-Gauss channels for both observer studies. Methods for selection of number of channels and channel width are discussed.

Original languageEnglish (US)
Pages (from-to)3034-3044
Number of pages11
JournalMedical physics
Issue number7
StatePublished - 2007


  • Channelized Hotelling observer
  • Hardware assessment
  • Image quality
  • Signal detection

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging


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