Research Topics
| M A KupinskiSummaryAffiliation: University of Arizona Country: USA Publications
Research Grants
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Detail Information
Publications
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...
Ideal observer approximation using Bayesian classification neural networksM 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...- 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)... - Ideal-observer performance under signal and background uncertaintyS 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... - Quantitative analysis of acute myocardial infarct in rat hearts with ischemia-reperfusion using a high-resolution stationary SPECT systemZhonglin Liu
Department of Radiology, University of Arizona Health Sciences Center, Tucson 85724 5067, USA
J Nucl Med 43:933-9. 2002.... - 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... - 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... - The multi-module, multi-resolution system (M3R): a novel small-animal SPECT systemJacob 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... - 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... - 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... - 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... - 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... - 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... - Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis modelDarrin 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... - 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... - Automated seeded lesion segmentation on digital mammogramsM 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... - Ideal observers and optimal ROC hypersurfaces in N-class classificationDarrin C Edwards
Department of Radiology, The University of Chicago, Chicago, IL 60637, USA
IEEE Trans Med Imaging 23:891-5. 2004.... - 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... - Computerized lesion detection on breast ultrasoundKaren 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... - A prototype instrument for single pinhole small animal adaptive SPECT imagingMelanie 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 Grants
- Workshop on Small-Animal SPECTMATTHEW 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. ..
- Workshop on Small-Animal SPECTMATTHEW 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. ..