@inproceedings{8909123d7cac46bc9bb7d0a4b3503a36,

title = "Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection",

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.",

author = "Kupinski, {Meredith K.} and Clarkson, {Eric W} and Michael Ghaly and Frey, {Eric C.}",

note = "Funding Information: This material is based upon work supported from the National Institutes of Health under R01-EB000803 and P41-EB002035 and from the National Science Foundation under CHE-1313892 Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment ; Conference date: 02-03-2016 Through 03-03-2016",

year = "2016",

doi = "10.1117/12.2217846",

language = "English (US)",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Abbey, {Craig K.} and Kupinski, {Matthew A.}",

booktitle = "Medical Imaging 2016",

}