Research Topics
| Eric ClarksonSummaryAffiliation: University of Arizona Country: USA Publications
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Detail Information
Publications
Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode dataEric Clarkson
Department of Radiology and College of Optical Sciences, The University of Arizona, Tucson, Arizona 85724, USA
J Opt Soc Am A Opt Image Sci Vis 29:2204-16. 2012..The fourth surrogate FOM is identical in the two cases and involves an integral over attribute space for each of a randomly generated sequence of backgrounds...
A probabilistic model for the MRMC method, part 1: theoretical developmentEric Clarkson
College of Optical Sciences, The University of Arizona, 1630 East University Blvd, Tucson, AZ 85721, USA
Acad Radiol 13:1410-21. 2006..When probability distributions are specified for these terms, these distributions are assumed to be Gaussians...
Fisher information and surrogate figures of merit for the task-based assessment of image qualityEric Clarkson
Department of Radiology, University of Arizona, Tucson, Arizona 85724, USA
J Opt Soc Am A Opt Image Sci Vis 27:2313-26. 2010..Applications of this approximation to imaging mixture models show a relation with the pure detection and pure estimation tasks for the same signals...
Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasksEric Clarkson
College of Optical Sciences, The University of Arizona, 1630 East University Boulevard, Tucson, Arizona 85721, USA
J Opt Soc Am A Opt Image Sci Vis 24:B91-8. 2007..When the utility function is concave, the ideal EROC observer makes use of the posterior mean estimator. Other estimators that arise as special cases include maximum a posteriori estimators and maximum-likelihood estimators...
Bounds on the area under the receiver operating characteristic curve for the ideal observerEric Clarkson
Department of Radiology and Optical Sciences Center, University of Arizona, Tucson, 85724 5067, USA
J Opt Soc Am A Opt Image Sci Vis 19:1963-8. 2002..This bound is compared with other bounds on ideal-observer performance that have been derived recently, and it is also shown how this bound leads to some asymptotic results for approximations to ideal-observer performance...
A probabilistic model for the MRMC method, part 2: validation and applicationsMatthew A Kupinski
College of Optical Sciences, The University of Arizona, 1630 East University Blvd, Tucson, AZ 85721, USA
Acad Radiol 13:1422-30. 2006..Finally, this probabilistic model sets bounds on both the overall variance of the Wilcoxon statistic and the individual coefficients...
Objective comparison of quantitative imaging modalities without the use of a gold standardJohn W Hoppin
Department of Radiology, Arizona Health Sciences Center, Tucson 85724 5067, USA
IEEE Trans Med Imaging 21:441-9. 2002..Results of numerous simulation studies will be presented and indicate that the method can precisely and accurately estimate the parameters of a regression line without a gold standard, i.e., without the x axis...
Efficiency of the human observer detecting random signals in random backgroundsSubok Park
Program in Applied Mathematics and Department of Radiology, University of Arizona, Tucson, Arizona 85724, USA
J Opt Soc Am A Opt Image Sci Vis 22:3-16. 2005..Three different simplified pinhole imaging systems are simulated, and the humans and the model observers rank the systems in the same order for both the SKE and the SKS tasks...
Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background imagesFangfang Shen
Department of Radiology, University of Arizona, Tucson 85724-5067, USA
J Opt Soc Am A Opt Image Sci Vis 23:2406-14. 2006..We are also able to provide a theoretical foundation for the connection between detection tasks and estimation tasks...
Adaptive SPECTHarrison H Barrett
Center for Gamma Ray Imaging and the Departmentof Radiology, University of Arizona, Tucson, AZ 85724, USA
IEEE Trans Med Imaging 27:775-88. 2008..Detailed expressions for the performance figures of merit are given, and possible adaptation rules are discussed...
Comparing cardiac ejection fraction estimation algorithms without a gold standardMatthew A Kupinski
Optical Sciences Center, The University of Arizona, 1630 East University Blvd, Tucson, AZ 85721, USA
Acad Radiol 13:329-37. 2006..A solution to this "no-gold-standard" problem recently was proposed, called regression without truth (RWT)...
Estimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methodsMeredith Kathryn Whitaker
College of Optical Sciences and Department of Radiology, University of Arizona, Tucson, Arizona 85724, USA
Opt Express 16:8150-73. 2008..The linear metric to be optimized can be derived as a special case of maximum a posteriori (MAP) estimation when the likelihood is Gaussian and a slowly varying covariance approximation is made...
Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniquesMatthew A Kupinski
Optical Sciences Center and Department of Radiology, University of Arizona, Tucson, Arizona 85721, USA
J Opt Soc Am A Opt Image Sci Vis 20:430-8. 2003..We demonstrate the method by comparing three different parallel-hole collimator imaging systems in simulation...
Experimental determination of object statistics from noisy imagesMatthew A Kupinski
Optical Sciences Center and Department of Radiology, University of Arizona, Tucson, Arizona 85721, USA
J Opt Soc Am A Opt Image Sci Vis 20:421-9. 2003..The results of these techniques could eventually be used to optimize both the hardware and the software components of imaging systems...
Estimation in medical imaging without a gold standardMatthew A Kupinski
Department of Radiology, Arizona Health Sciences Center, Tucson 85724-5067, USA
Acad Radiol 9:290-7. 2002..CONCLUSION: The method accurately estimates model parameters. These estimates can be used to rank the systems for a given estimation task...
Simulating photon-transport in uniform media using the radiative transport equation: a study using the Neumann-series approachAbhinav K Jha
College of Optical Sciences, University of Arizona, Tucson, Arizona, USA
J Opt Soc Am A Opt Image Sci Vis 29:1741-57. 2012..Through our results, we demonstrate that the Neumann-series approach can be used to model light propagation in uniform media with small geometries at optical wavelengths...
Hardware assessment using the multi-module, multi-resolution system (M3R): a signal-detection studyJacob Y Hesterman
University of Arizona College of Optical Sciences, 1630 E University Boulevard, Tucson, Arizona 85721, USA
Med Phys 34:3034-44. 2007..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...
Three-dimensional Neumann-series approach to model light transport in nonuniform mediaAbhinav K Jha
College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA
J Opt Soc Am A Opt Image Sci Vis 29:1885-99. 2012..We observe that the Neumann-series approach gives accurate results in many cases where the diffusion approximation is not accurate...
SVD for imaging systems with discrete rotational symmetryEric Clarkson
College of Optical Sciences, The University of Arizona, Tucson, Arizona 85721, USA
Opt Express 18:25306-20. 2010..The ability to compute the full singular value spectra and singular vectors will augment future work in system characterization, image-quality assessment and reconstruction techniques for tomographic imaging systems...
Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signalSubok Park
National Institute of Biomedical Imaging and Bioengineering Center for Devices and Radiological Health CDRH, Division of Imaging and Applied Mathematics, US Food and Drug Administration, Silver Spring, Maryland 20993, USA
J Opt Soc Am A Opt Image Sci Vis 24:B136-50. 2007..The alternative approach provides good estimates of the performance of the CIO with five LG channels. However, for large channel cases, more efficient computational methods need to be developed for the CIO to become useful in practice...
Effect of source spectral shape on task-based assessment of detection and resolution in optical coherence tomographyA Ceyhun Akcay
College of Optics and Photonics, CREOL, and the Florida Photonics Center of Excellence, University of Central Florida, Orlando, Florida 32816, USA
Appl Opt 44:7573-80. 2005..Moreover, the AUC is demonstrated in relation to the concept of system sensitivity for a signal-detection task...
Dispersion control with a Fourier-domain optical delay line in a fiber-optic imaging interferometerKye-Sung Lee
College of Optics and Photonics, Center for Research and Education in Optics and Lasers, Florida Photonics Center of Excellence, University of Central Florida, Orlando, Florida 32816, USA
Appl Opt 44:4009-22. 2005..e., 8.1 microm optimal, 12.7 microm at maximum broadening) compared with approximately 110% when compensation is performed without the specimen taken into account...
Task-based optimization and performance assessment in optical coherence imagingJannick Rolland
College of Optics and Photonics CREOL and FPCE, University of Central Florida, Orlando, Florida 32816, USA
J Opt Soc Am A Opt Image Sci Vis 22:1132-42. 2005..We also quantify the dependence of the resolution performance on the specimen model being imaged...
