M A Kupinski

Summary

Affiliation: University of Arizona
Country: USA

Publications

  1. 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
  2. ncbi request reprint Ideal observer approximation using Bayesian classification neural networks
    M A Kupinski
    Department of Radiology, University of Chicago, IL 60637, USA
    IEEE Trans Med Imaging 20:886-99. 2001
  3. 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
  4. ncbi request reprint Ideal-observer performance under signal and background uncertainty
    S Park
    Program in Applied Mathematics, The University of Arizona at Tucson, USA
    Inf Process Med Imaging 18:342-53. 2003
  5. pmc Quantitative analysis of acute myocardial infarct in rat hearts with ischemia-reperfusion using a high-resolution stationary SPECT system
    Zhonglin Liu
    Department of Radiology, University of Arizona Health Sciences Center, Tucson 85724 5067, USA
    J Nucl Med 43:933-9. 2002
  6. 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
  7. 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
  8. pmc The multi-module, multi-resolution system (M3R): a novel small-animal SPECT system
    Jacob Y Hesterman
    College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, Arizona 85721, USA
    Med Phys 34:987-93. 2007
  9. 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
  10. 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

Research Grants

  1. Workshop on Small-Animal SPECT
    MATTHEW KUPINSKI; Fiscal Year: 2004
  2. Workshop on Small-Animal SPECT
    MATTHEW KUPINSKI; Fiscal Year: 2006

Detail Information

Publications20

  1. 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...
  2. ncbi request reprint Ideal observer approximation using Bayesian classification neural networks
    M A Kupinski
    Department of Radiology, University of Chicago, IL 60637, USA
    IEEE Trans Med Imaging 20:886-99. 2001
    ..However, the minimum number of hidden units required to best model the optimal mapping function varies with the complexity of the data...
  3. 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)...
  4. ncbi request reprint Ideal-observer performance under signal and background uncertainty
    S Park
    Program in Applied Mathematics, The University of Arizona at Tucson, USA
    Inf Process Med Imaging 18:342-53. 2003
    ..We also compare psychophysical studies to the performance of the ideal observer...
  5. pmc Quantitative analysis of acute myocardial infarct in rat hearts with ischemia-reperfusion using a high-resolution stationary SPECT system
    Zhonglin Liu
    Department of Radiology, University of Arizona Health Sciences Center, Tucson 85724 5067, USA
    J Nucl Med 43:933-9. 2002
    ....
  6. 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...
  7. 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...
  8. pmc The multi-module, multi-resolution system (M3R): a novel small-animal SPECT system
    Jacob Y Hesterman
    College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, Arizona 85721, USA
    Med Phys 34:987-93. 2007
    ..We provide an overview of M3R, focusing primarily on system design and construction, aperture construction, and calibration methods. Reconstruction algorithms will be described and reconstructed images presented...
  9. 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...
  10. 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...
  11. 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...
  12. 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...
  13. 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...
  14. ncbi request reprint Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model
    Darrin C Edwards
    Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 29:2861-70. 2002
    ..Although developed primarily with computer vision schemes in mind, we hope that the methodology presented here will prove worthy of further study in other applications as well...
  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. ncbi request reprint Automated seeded lesion segmentation on digital mammograms
    M A Kupinski
    Department of Radiology, The University of Chicago, IL 60637, USA
    IEEE Trans Med Imaging 17:510-7. 1998
    ..At an overlap threshold of 0.30, gray level region growing correctly delineates 62% of the lesions in our database while the RGI and probabilistic segmentation algorithms correctly segment 92% and 96% of the lesions, respectively...
  17. pmc Ideal observers and optimal ROC hypersurfaces in N-class classification
    Darrin C Edwards
    Department of Radiology, The University of Chicago, Chicago, IL 60637, USA
    IEEE Trans Med Imaging 23:891-5. 2004
    ....
  18. 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...
  19. ncbi request reprint Computerized lesion detection on breast ultrasound
    Karen Drukker
    Med Phys 29:1438-46. 2002
    ..84, and an overall performance by case of 94% sensitivity at 0.48 false-positives per image. Use of computerized analysis of breast sonograms may ultimately facilitate the use of sonography in breast cancer screening programs...
  20. pmc A prototype instrument for single pinhole small animal adaptive SPECT imaging
    Melanie Freed
    U S Food and Drug Administration, 10903 New Hampshire Avenue, Building 62, Room 3133, Silver Spring, Maryland 20993 0002, USA
    Med Phys 35:1912-25. 2008
    ..Comparison of the predicted system behavior with the actual system behavior is presented, along with recommendations for system improvements...

Research Grants3

  1. Workshop on Small-Animal SPECT
    MATTHEW KUPINSKI; Fiscal Year: 2004
    ..The grant will assist with the logistic support of organizing the workshop and provide travel support for about 10 graduate students and post-docs. ..
  2. Workshop on Small-Animal SPECT
    MATTHEW KUPINSKI; Fiscal Year: 2006
    ..The grant will assist with the logistic support of organizing the workshop and provide travel support for about six graduate students and postdocs. ..