Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection

Meridith Kathryn Kupinski, Eric W Clarkson, Michael Ghaly, Eric C. Frey

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

Abstract

To evaluate performance on a perfusion defect detection task from 540 image pairs of myocardial perfusion SPECT image data we apply the J-optimal channelized quadratic observer (J-CQO). We compare AUC values of the linear Hotelling observer and J-CQO when the defect location is fixed and when it occurs in one of two locations. As expected, when the location is fixed a single channels maximizes AUC; location variability requires multiple channels to maximize the AUC. The AUC is estimated from both the projection data and reconstructed images. J-CQO is quadratic since it uses the first- and second- order statistics of the image data from both classes. The linear data reduction by the channels is described by an L x M channel matrix and in prior work we introduced an iterative gradient-based method for calculating the channel matrix. The dimensionality reduction from M measurements to L channels yields better estimates of these sample statistics from smaller sample sizes, and since the channelized covariance matrix is L x L instead of M x M, the matrix inverse is easier to compute. The novelty of our approach is the use of Jeffrey's divergence (J) as the figure of merit (FOM) for optimizing the channel matrix. We previously showed that the J-optimal channels are also the optimum channels for the AUC and the Bhattacharyya distance when the channel outputs are Gaussian distributed with equal means. This work evaluates the use of J as a surrogate FOM (SFOM) for AUC when these statistical conditions are not satisfied.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment
PublisherSPIE
Volume9787
ISBN (Electronic)9781510600225
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment - San Diego, United States
Duration: Mar 2 2016Mar 3 2016

Other

OtherMedical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego
Period3/2/163/3/16

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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