Eric Clarkson

Summary

Affiliation: University of Arizona
Country: USA

Publications

  1. doi request reprint Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data
    Eric 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
  2. pmc A probabilistic model for the MRMC method, part 1: theoretical development
    Eric Clarkson
    College of Optical Sciences, The University of Arizona, 1630 East University Blvd, Tucson, AZ 85721, USA
    Acad Radiol 13:1410-21. 2006
  3. pmc Fisher information and surrogate figures of merit for the task-based assessment of image quality
    Eric Clarkson
    Department of Radiology, University of Arizona, Tucson, Arizona 85724, USA
    J Opt Soc Am A Opt Image Sci Vis 27:2313-26. 2010
  4. pmc Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasks
    Eric 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
  5. ncbi request reprint Bounds on the area under the receiver operating characteristic curve for the ideal observer
    Eric 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
  6. pmc A probabilistic model for the MRMC method, part 2: validation and applications
    Matthew A Kupinski
    College of Optical Sciences, The University of Arizona, 1630 East University Blvd, Tucson, AZ 85721, USA
    Acad Radiol 13:1422-30. 2006
  7. pmc Objective comparison of quantitative imaging modalities without the use of a gold standard
    John W Hoppin
    Department of Radiology, Arizona Health Sciences Center, Tucson 85724 5067, USA
    IEEE Trans Med Imaging 21:441-9. 2002
  8. pmc Efficiency of the human observer detecting random signals in random backgrounds
    Subok 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
  9. ncbi request reprint Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background images
    Fangfang Shen
    Department of Radiology, University of Arizona, Tucson 85724 5067, USA
    J Opt Soc Am A Opt Image Sci Vis 23:2406-14. 2006
  10. pmc Adaptive SPECT
    Harrison 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

Detail Information

Publications23

  1. doi request reprint Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data
    Eric 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...
  2. pmc A probabilistic model for the MRMC method, part 1: theoretical development
    Eric 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...
  3. pmc Fisher information and surrogate figures of merit for the task-based assessment of image quality
    Eric 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...
  4. pmc Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasks
    Eric 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...
  5. ncbi request reprint Bounds on the area under the receiver operating characteristic curve for the ideal observer
    Eric 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...
  6. pmc A probabilistic model for the MRMC method, part 2: validation and applications
    Matthew 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...
  7. pmc Objective comparison of quantitative imaging modalities without the use of a gold standard
    John 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...
  8. pmc Efficiency of the human observer detecting random signals in random backgrounds
    Subok 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...
  9. ncbi request reprint Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background images
    Fangfang 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...
  10. pmc Adaptive SPECT
    Harrison 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...
  11. pmc Comparing cardiac ejection fraction estimation algorithms without a gold standard
    Matthew 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)...
  12. pmc Estimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methods
    Meredith 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...
  13. pmc Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques
    Matthew 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...
  14. pmc Experimental determination of object statistics from noisy images
    Matthew 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...
  15. pmc Estimation in medical imaging without a gold standard
    Matthew A Kupinski
    Department of Radiology, Arizona Health Sciences Center, Tucson 85724 5067, USA
    Acad Radiol 9:290-7. 2002
    ..Therefore, evaluation and comparison of different estimation methods are difficult. The purpose of this study was to examine a method of evaluating different estimation methods without use of a gold standard...
  16. doi request reprint Simulating photon-transport in uniform media using the radiative transport equation: a study using the Neumann-series approach
    Abhinav 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...
  17. pmc Hardware assessment using the multi-module, multi-resolution system (M3R): a signal-detection study
    Jacob 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...
  18. doi request reprint Three-dimensional Neumann-series approach to model light transport in nonuniform media
    Abhinav 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...
  19. pmc SVD for imaging systems with discrete rotational symmetry
    Eric 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...
  20. pmc Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal
    Subok 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...
  21. ncbi request reprint Effect of source spectral shape on task-based assessment of detection and resolution in optical coherence tomography
    A 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...
  22. ncbi request reprint Dispersion control with a Fourier-domain optical delay line in a fiber-optic imaging interferometer
    Kye 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...
  23. ncbi request reprint Task-based optimization and performance assessment in optical coherence imaging
    Jannick 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...