{"id":187,"date":"2016-04-07T20:08:23","date_gmt":"2016-04-07T20:08:23","guid":{"rendered":"https:\/\/live-optics-wp.pantheonsite.io\/cgri\/?page_id=187"},"modified":"2016-06-29T16:38:41","modified_gmt":"2016-06-29T16:38:41","slug":"related-literature-2","status":"publish","type":"page","link":"https:\/\/wp.optics.arizona.edu\/cgri\/image-quality\/related-literature-2\/","title":{"rendered":"Related Literature"},"content":{"rendered":"

Applications of Objective Measures of Image Quality<\/h3>\n
    \n
  1. C.-J. Lee, M. A. Kupinski and L. Volokh, \u201cAssessment of cardiac single-photon emission computed tomography performance using a scanning linear observer<\/a>,\u201d Medical Physics. 40(1)::011906, 2013. PMC3581138.<\/li>\n
  2. A. K. Jha, M. A. Kupinski, J. J. Rodriguez, R. M. Stephen, A. T. Stopeck, “Task-based evaluation of segmentation algorithms for Diffusion-weighted MRI without using a gold-standard,” <\/a>Physics in Medicine and Biology 57(13): 4425-4446, 2012.\u00a0PMC3932666.<\/li>\n
  3. D. Kang, and M. A. Kupinski, \u201cSignal detectability in diffusive media using phased arrays in conjunction with detector arrays,\u201d<\/a> Optics Express 20;19(13):12261-74, 2011. PMID: 21716463.<\/li>\n
  4. J. Y. Hesterman, M. A. Kupinski, E. Clarkson, and H. H. Barrett, \u201cPMID:21716463–A signal-detection study\u201d, <\/a>Medical Physic, 34:3034-3044, 2007. PMC2471875.<\/li>\n
  5. L. Caucci, H. H. Barrett, N. Devaney, and J. L. Rodriguez, \u201cApplication of the Hotelling and ideal observers to detection and localization of exoplanets\u201d, <\/a>Journal of the Optical Society of America A 24(12):B13-B24, 2007.\u00a0 PMC2596684.<\/li>\n
  6. M. A. Kupinski, J. W. Hoppin, J. Krasnow, S. Dahlberg, J. A. Leppo, M. A. King, E. Clarkson, and H. H. Barrett,\u201cComparing cardiac ejection fraction estimation algorithms without a gold standard<\/a>\u201d, Academic Radiology 31:329-337, 2006.\u00a0PMC2464280.<\/li>\n
  7. A. K. Sahu, A. Joshi, M. A. Kupinski, E. M. Sevick-Muraca, \u201cAssessment of a fluorescence-enhanced optical imaging system using the Hotelling observer\u201d, <\/a>Optics Express 14:7642-7660, 2006.\u00a0PMC2832206.<\/li>\n
  8. L. Chen and H. H. Barrett, \u201cTask-based lens design with application to digital mammography<\/a>\u201d, Journal of the Optical Society of America A, 1:148-167, 2005.\u00a0 PMC1785332.<\/li>\n
  9. \u00a0J. Rolland, J. O\u2019Daniel, C. Akcay, T. DeLemos, K. S. Lee, K-L. Cheong, E. Clarkson, R. Chakrabarti, and R. Ferris, \u201cTask-based optimization and performance assessment in optical coherence imaging<\/a>\u201d, Journal of the Optical Society of America A, 22:1132-1142, 2005. PMID:15984486.<\/li>\n
  10. J. D. Sain and H. H. Barrett, \u201cPerformance evaluation of a modular gamma camera using a detectability index<\/a>\u201d, Journal of Nuclear Medicine, 44:58-66, 2003. PMID:12515877.<\/li>\n<\/ol>\n

    Objective Assessment of Image Quality<\/h3>\n
      \n
    1. L. Caucci and H. H. Barrett, “Objective assessment of image quality: V. Photon-counting detectors and list-mode data<\/a>,”Journal of the Optical Society of America A 29(6):1003-16, 2012.\u00a0 PMC3377176.<\/li>\n
    2. E. Clarkson, M. A. Kupinski, H. H. Barrett, and L. Furenlid, \u201cA task-based approach to adaptive and multimodality imaging<\/a>\u201d, Proceedings of IEEE, 96(3):500-511, 2008.\u00a0PMC2597814.<\/li>\n
    3. M. A. Kupinski, A. B. Watson, J. H. Siewerdsen, K. J. Myers, and M. Eckstein, \u201cImage Quality<\/a>\u201d, Journal of the Optical Society of America A, 24(12):IQ1-IQ1, 2007.<\/li>\n
    4. H. H. Barrett, K. J. Myers, N. Devaney, and C. Dainty,\u201cObjective assessment of image quality: IV. Application to adaptive optics<\/a>\u201d, Journal of the Optical Society of America A, 23:3080-3105, 2006. PMC2596685.<\/li>\n<\/ol>\n

      Basic Image-Quality Theory<\/h3>\n
        \n
      1. H. H. Barrett, “Objective assessment of image quality: Effects of quantum noise and object variability<\/a>“, JOSA A, 7:1266-1278, 1990. PMID:\u00a0 2370589.<\/li>\n
      2. H. H. Barrett, J. L. Denny, R. F. Wagner, and K. J. Myers, “Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance<\/a>“, JOSA A, 12:834-852, 1995.\u00a0 PMID:7730951.<\/li>\n
      3. H. H. Barrett, C. K. Abbey, and E. Clarkson, “Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions<\/a>“, JOSA A, 15:1520-1535, 1998.\u00a0PMID: 9612940.<\/li>\n
      4. H. H. Barrett, T. Gooley, K. Girodias, J. Rolland, T. White, and J. Yao, “Linear discriminants and image quality<\/a>“, Image and Vision Computing, 10(6):451-460, 1992.<\/li>\n
      5. H. H. Barrett, J. L. Denny, H. C. Giffort, and C. K. Abbey, “Generalized NEQ: Fourier analysis where you would least expect to find it<\/a>“, SPIE, 2708:41-52, 1996.<\/li>\n
      6. Medical Imaging — The Assessment of Image Quality. ICRU Report 54. International Commission on Radiation Units and Measurements. Bethesda MD (8 April 1996).<\/a><\/li>\n
      7. R.F. Wagner and D.G. Brown, “Unified SNR analysis of medical imaging systems<\/a>.” Phys. Med. Biol. (1985) vol 30, 489-518.<\/li>\n
      8. D. W. Wilson, and H. H. Barrett, “Decomposition of images and objects into measurement and null components<\/a>“, Optics Express, 2:254-260, 1998.\u00a0PMID:\u00a0 19377608.<\/li>\n<\/ol>\n

        Observer Models<\/h3>\n
          \n
        1. C. K. Abbey, and H. H. Barrett, “Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability<\/a>“, JOSA A. 18:473-488, 2001.\u00a0PMC2943344.<\/li>\n
        2. H. H. Barrett, J. Yao, J. P. Rolland, and K. J. Myers, “Model observers for assessment of image quality<\/a>“, Proc. Natl. Acad. Sci., 90:9758-9765, 1993.<\/li>\n
        3. J. P. Rolland, H. H. Barrett, and G. W. Seeley, “Ideal versus human observer for long-tailed point spread functions: does deconvolution help?<\/a>“, Phys. Med. Biol. 36:1091-1109, 1991.\u00a0 PMID: 1924544.<\/li>\n
        4. C. K. Abbey, H. H. Barrett, and D. W. Wilson, “Observer signal-to-noise ratios for the ML-EM algorithm”<\/a>, SPIE Vol 2712:47-58, 1996.\u00a0PMC2943373.<\/li>\n
        5. J. P. Rolland, and H. H. Barrett, “Effect of random background inhomogeneity on observer detection performance”,<\/a> JOSA A, 9:649-658, 1992.\u00a0 PMID: 1588452.<\/li>\n
        6. D. Kang and M. A. Kupinski, \u201cA new figure of merit for frequency-domain diffusive imaging<\/a>,\u201d Optics Letters 38(2): 235-7, 2013.<\/li>\n
        7. E. Clarkson, “Asymptotic ideal observers and surrogate figures of merit for signal detection with list mode data,<\/a>” Journal of the Optical Society of America A, 29(10): 2204-2216, 2012.\u00a0 PMC3967985.<\/li>\n
        8. E. Clarkson and F. Shen, \u201cFisher information and surrogate figures of merit for task-based assessment of image quality,<\/a>\u201dJournal of the Optical Society of America A, 27(10), 2313-2316, 2010. PMC2963440.<\/li>\n
        9. S. Park and E. Clarkson, \u201cEfficient estimation of ideal-observer performance in classification tasks involving complex backgrounds.<\/a>\u201d Journal of the Optical Society of America A, 26, B59-B71, 2009. PMC2909882.<\/li>\n
        10. L. Caucci, H. H. Barrett, and J. J. Rodriguez, “Spatio-temporal Hotelling observer for signal detection from image sequences,<\/a>“Optics Express 17,10946-10958, 2009. PMC2859675.<\/li>\n
        11. M. K. Whitaker, E. Clarkson, and H. H. Barrett, \u201cEstimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methods<\/a>\u201d, Optics Express, 16(11):8150-8173, 2008. PMC2577032.<\/li>\n
        12. S. Park, H. H. Barrett, E. Clarkson, M. A. Kupinski, and K. J. Myers, \u201cChannelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and Gaussian signal\u201d, <\/a>Journal of the Optical Society of America A, 24(12):B136-B150, 2007.\u00a0 PMC2655642.<\/li>\n
        13. S. Park, E. Clarkson, M. A. Kupinski, and H. H. Barrett, \u201cEfficiency of the human observer detecting random signals in random backgrounds<\/a>\u201d, Journal of the Optical Society of America A, 22(1):3-16, 2005. PMC2464287.<\/li>\n
        14. S. Park, M. A. Kupinski, E. Clarkson, H. H. Barrett “Ideal-observer performance under signal and background uncertainty,<\/a>” Lecture Notes in Computer Science. 2732, 342-353, 2003.<\/li>\n
        15. A. R. Pineda, and H. H. Barrett, \u201cFigures of merit for digital radiography. I. Flat background and deterministic blurring<\/a>\u201d, Medical Physics,31:348-358, 2004.<\/li>\n
        16. A. R. Pineda, and H. H. Barrett, \u201cFigures of merit for digital radiography. II. Finite number of secondaries, structured and random backgrounds<\/a>\u201d, Medical Physics, 31:359-367, 2004.<\/li>\n
        17. M. A. Kupinski, J. W. Hoppin, E. Clarkson, and H. H. Barrett, \u201cIdeal-observer computation in medical imaging with use of Markov-chain Monte Carlo<\/a>\u201d, Journal of the Optical Society of America A, 20:430-438, 2003.<\/li>\n
        18. J. W. Hoppin, D. W. Wilson, T. E. Peterson, M. A. Kupinski, G. A. Kastis, E. Clarkson, L R. Furenlid, and H. H. Barrett, \u201cEvaluating estimation techniques in medical imaging without a gold standard: experimental validation<\/a>\u201d, Proceedings of SPIE, 5034:230-237, 2003.<\/li>\n
        19. M. A. Kupinski, E. Clarkson, K. Gross, J. W. Hoppin, and H. H. Barrett, \u201cOptimizing imaging hardware for estimation tasks<\/a>\u201d, Proceedings of SPIE, 5034:309-313, 2003.<\/li>\n
        20. B. D. Gallas and H. H. Barrett, \u201cValidating the use of channels to estimate the ideal linear observer<\/a>\u201d, Journal of the Optical Society of America A, 20(9):1725-1738, 2003. PMID: 12968645<\/li>\n<\/ol>\n

          ROC<\/h3>\n
            \n
          1. C. E. Metz, “Basic principles of ROC Analysis.<\/a>” Seminars in Nuclear Medicine 8(4):283-298, 1978. PMID: 112681.<\/li>\n
          2. C. E. Metz, “ROC methodology in Radiologic imaging.<\/a>” Investigative Radiology 21(9):720-733, 1986. PMID: 3095258.<\/li>\n
          3. C. E. Metz, “Some practical issues of experimental design and data analysis in radiological ROC studies,<\/a>” Invest Radiol., 24(3):234-245, 1989.\u00a0 PMID: 2753640.<\/li>\n
          4. R.F. Wagner, S.V. Beiden, C.E. Metz, “Continuous versus Categorical Data for ROC Analysis: Some Quantitative Considerations<\/a>.” Acad Radiol., 8:328-334, 2001.\u00a0 PMID: 11293781.<\/li>\n
          5. S.V. Beiden, R.F. Wagner, G. Campbell, “Components-of-variance Models and Multiple-Bootstrap Experiments: An alternative method for random-effects, receiver operating characteristic analysis<\/a>.” Acad Radiol 7(5): 341-349, 2000. PMID: 10803614.<\/li>\n
          6. E. Clarkson, J. L. Denny and L. Shepp, \u201cROC and the bounds on tail probabilities via theorems of Dubins and F. Riesz<\/a>,\u201d Annals of Applied Probability 19(1):467-476, 2009. PMC2828638.<\/li>\n
          7. E. Clarkson, \u201cEstimation receiver operating characteristic curve and ideal observers for combined detection\/estimation tasks<\/a>\u201d,Journal of the Optical Society of America A, 24(12):B91-B98, 2007. PMC2575755.<\/li>\n
          8. E. Clarkson, M. A. Kupinski, H. H. Barrett, “A probabilistic model for the MRMC method, part 1: Theoretical development,”<\/a>Academic Radiology. 13(11):1410-1421, 2006.\u00a0 PMC2844793.<\/li>\n
          9. M. A. Kupinski, E. Clarkson, and H. H. Barrett, \u201cA probabilistic model for the MRMC method. Part 2: Validation and applications<\/a>\u201d, Academic Radiolology, 13(11):1422-1430, 2006.\u00a0PMC2077079.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

            Applications of Objective Measures of Image Quality C.-J. Lee, M. A. Kupinski and L. Volokh, \u201cAssessment of cardiac single-photon emission computed tomography performance using a scanning linear observer,\u201d Medical Physics. 40(1)::011906, 2013. PMC3581138. A. K. Jha, M. A. Kupinski, J. J. Rodriguez, R. M. Stephen, A. T. Stopeck, “Task-based evaluation of segmentation algorithms for Diffusion-weighted MRI without using a gold-standard,”<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":102,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-187","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/comments?post=187"}],"version-history":[{"count":17,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/187\/revisions"}],"predecessor-version":[{"id":538,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/187\/revisions\/538"}],"up":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/102"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/media?parent=187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}