Dev Chakraborty

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. pmc Operating characteristics predicted by models for diagnostic tasks involving lesion localization
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 Forbes Avenue, Parkvale Building, Room 109, Pittsburgh, Pennsylvania 15261, USA
    Med Phys 35:435-45. 2008
  2. pmc A brief history of free-response receiver operating characteristic paradigm data analysis
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Presbyterian South Tower, Room 4771, 200 Lothrop St, Pittsburgh, PA 15213, USA
    Acad Radiol 20:915-9. 2013
  3. pmc Application of threshold-bias independent analysis to eye-tracking and FROC data
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Presbyterian South Tower, Room 4771, 200 Lothrop Street, Pittsburgh, PA 15213, USA
    Acad Radiol 19:1474-83. 2012
  4. pmc Quantifying the clinical relevance of a laboratory observer performance paradigm
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Br J Radiol 85:1287-302. 2012
  5. pmc Measuring agreement between rating interpretations and binary clinical interpretations of images: a simulation study of methods for quantifying the clinical relevance of an observer performance paradigm
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, 4771 Presbyterian South Tower, 200 Lothrop St, Pittsburgh, PA 15213, USA
    Phys Med Biol 57:2873-904. 2012
  6. pmc Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data
    Dev Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 5th Avenue, Suite 300, Pittsburgh, PA 15261, USA
    Acad Radiol 14:4-18. 2007
  7. pmc Validation and statistical power comparison of methods for analyzing free-response observer performance studies
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 Forbes Ave, Suite 109, Pittsburgh, PA 15261, USA
    Acad Radiol 15:1554-66. 2008
  8. pmc A status report on free-response analysis
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
    Radiat Prot Dosimetry 139:20-5. 2010
  9. pmc Prediction accuracy of a sample-size estimation method for ROC studies
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Acad Radiol 17:628-38. 2010
  10. pmc New developments in observer performance methodology in medical imaging
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Semin Nucl Med 41:401-18. 2011

Collaborators

Detail Information

Publications23

  1. pmc Operating characteristics predicted by models for diagnostic tasks involving lesion localization
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 Forbes Avenue, Parkvale Building, Room 109, Pittsburgh, Pennsylvania 15261, USA
    Med Phys 35:435-45. 2008
    ..This prediction is actually observed in the CAD raw data and it is the primary reason for the poor FROC fits of the Swensson model in the low-confidence region...
  2. pmc A brief history of free-response receiver operating characteristic paradigm data analysis
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Presbyterian South Tower, Room 4771, 200 Lothrop St, Pittsburgh, PA 15213, USA
    Acad Radiol 20:915-9. 2013
    ....
  3. pmc Application of threshold-bias independent analysis to eye-tracking and FROC data
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Presbyterian South Tower, Room 4771, 200 Lothrop Street, Pittsburgh, PA 15213, USA
    Acad Radiol 19:1474-83. 2012
    ..The aim was to demonstrate the feasibility of such FOMs and to measure the agreement between FOMs derived from free-response ROC (FROC) and ET data...
  4. pmc Quantifying the clinical relevance of a laboratory observer performance paradigm
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Br J Radiol 85:1287-302. 2012
    ..The objective of this study was to develop a method for quantifying the clinical relevance of a laboratory paradigm and apply it to compare the ROC and FROC paradigms in a nodule detection task...
  5. pmc Measuring agreement between rating interpretations and binary clinical interpretations of images: a simulation study of methods for quantifying the clinical relevance of an observer performance paradigm
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, 4771 Presbyterian South Tower, 200 Lothrop St, Pittsburgh, PA 15213, USA
    Phys Med Biol 57:2873-904. 2012
    ..The method could be used to evaluate the clinical relevance of alternative scalar figures of merit, such as the sensitivity at a predifined specificity...
  6. pmc Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data
    Dev Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 5th Avenue, Suite 300, Pittsburgh, PA 15261, USA
    Acad Radiol 14:4-18. 2007
    ..However, the choice of acceptance-radius is arbitrary. This makes it difficult to compare curves from different studies and to estimate true performance...
  7. pmc Validation and statistical power comparison of methods for analyzing free-response observer performance studies
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 Forbes Ave, Suite 109, Pittsburgh, PA 15261, USA
    Acad Radiol 15:1554-66. 2008
    ..The aim of this work was to validate and compare the statistical powers of proposed methods for analyzing free-response data using a search-model-based simulator...
  8. pmc A status report on free-response analysis
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
    Radiat Prot Dosimetry 139:20-5. 2010
    ..FROC analysis is being increasingly used to evaluate the imaging systems and understanding of recent progress should help researchers conduct better FROC studies...
  9. pmc Prediction accuracy of a sample-size estimation method for ROC studies
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Acad Radiol 17:628-38. 2010
    ..The aim of this work was to assess the prediction accuracy of a sample-size estimation method using the Monte Carlo simulation method...
  10. pmc New developments in observer performance methodology in medical imaging
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Semin Nucl Med 41:401-18. 2011
    ..The purpose of this work is to review recent developments in this field, particularly with respect to the free-response method, where location information is also collected...
  11. ncbi request reprint Analysis of location specific observer performance data: validated extensions of the jackknife free-response (JAFROC) method
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA 15261, USA
    Acad Radiol 13:1187-93. 2006
    ..The currently implemented method of analyzing the data, namely jackknife free-response (JAFROC) analysis, has some validation and applicability limitations. The purpose of this work is to address these limitations...
  12. pmc ROC curves predicted by a model of visual search
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 5th Avenue, Suite 300, Pittsburgh, PA 15261, USA
    Phys Med Biol 51:3463-82. 2006
    ..The search model appears to provide physical explanations for several aspects of experimental ROC curves...
  13. pmc A search model and figure of merit for observer data acquired according to the free-response paradigm
    D P Chakraborty
    Department of Radiology, University of Pittsburgh, 3520 5th Avenue, Suite 300, Pittsburgh, PA 15261, USA
    Phys Med Biol 51:3449-62. 2006
    ..The ability to analytically model and quantify the search process would enable more powerful assessment and optimization of performance in these activities, which could be highly significant...
  14. ncbi request reprint Observer studies involving detection and localization: modeling, analysis, and validation
    Dev P Chakraborty
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 31:2313-30. 2004
    ..The results of this comparison suggest that future studies of diagnostic performance may enjoy improved statistical power or reduced sample size requirements through the use of the JAFROC method...
  15. ncbi request reprint Recent advances in observer performance methodology: jackknife free-response ROC (JAFROC)
    Dev P Chakraborty
    University of Pittsburgh, keystone Building Suite 300, 3520 5th Avenue, Pittsburgh, PA 15213, USA
    Radiat Prot Dosimetry 114:26-31. 2005
    ..We found that JAFROC analysis is a statistically valid approach for analysing FROC data and that JAFROC analysis exhibited significantly greater statistical power than the existing ROC approach...
  16. ncbi request reprint Statistical power in observer-performance studies: comparison of the receiver operating characteristic and free-response methods in tasks involving localization
    Dev Chakraborty
    Department of Radiology, University of Pennsylvania, Science Center, Philadelphia 19104, USA
    Acad Radiol 9:147-56. 2002
    ..The relative statistical powers of the two methods, however, have not been tested. The purpose of this study was to compare the statistical power of ROC and AFROC methods using simulations...
  17. pmc Evaluating computer-aided detection algorithms
    Hong Jun Yoon
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
    Med Phys 34:2024-38. 2007
    ..Software based on this work is expected to benefit CAD developers working in diverse areas of medical imaging...
  18. ncbi request reprint Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report
    Ehsan Samei
    Duke Advanced Imaging Laboratories, Department of Radiology, Duke University, DUMC 3302, Durham, North Carolina 27710, USA
    Med Phys 32:1205-25. 2005
    ..01 for primary displays. The report offers further descriptions of prior standardization efforts, current display technologies, testing prerequisites, streamlined procedures and timelines, and TG18 test patterns...
  19. ncbi request reprint A comparison of two data analyses from two observer performance studies using Jackknife ROC and JAFROC
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket Street, Suite 4200, Pittsburgh, Pennsylvania 15213 3180, USA
    Med Phys 32:1031-4. 2005
    ..In the second study, LABMRMC showed no significant differences for any paired data sets and JAFROC showed a significant difference for one pair. In 15 of 16 pairs, p values computed by JAFROC were lower than those computed by LABMRMC...
  20. ncbi request reprint Counterpoint to analysis of ROC studies of computer-assisted modalities
    Dev Chakraborty
    Department of Radiology, University of Pennsylvania Medical Center, Philadelphia, PA 19104, USA
    Acad Radiol 9:1044-5. 2002
  21. ncbi request reprint Renal cyst pseudoenhancement: evaluation with an anthropomorphic body CT phantom
    Bernard A Birnbaum
    Department of Radiology, New York University Medical Center, 560 First Ave, New York, NY 10016, USA
    Radiology 225:83-90. 2002
    ..To determine the effects of cyst diameter and location (intrarenal, exophytic), renal attenuation, section collimation, and computed tomographic (CT) interscanner variability on renal cyst pseudoenhancement in a phantom model...
  22. ncbi request reprint Free-response receiver operating characteristic evaluation of lossy JPEG2000 and object-based set partitioning in hierarchical trees compression of digitized mammograms
    Mónica Penedo
    Laboratorio de Imagen Medica, Hospital General Universitario Gregorio Maranon, C Ibiza 43, 28009 Madrid, Spain
    Radiology 237:450-7. 2005
    ....
  23. pmc The digital imaging workstation. 1990
    Ronald L Arenson
    J Digit Imaging 16:142-62; discussion 141. 2003

Research Grants11

  1. Observer Studies Involving Search: Modeling and Analysis
    Dev P Chakraborty; Fiscal Year: 2010
    ..Health care benefits because more efficient and cost-effective studies become possible which could serve as surrogates for expensive clinical trials. ..
  2. Observer Studies Involving Search: Modeling and Analysis
    Dev Chakraborty; Fiscal Year: 2007
    ..Also, the explicit modeling of search and the ability to estimate search related parameters from observer data should open up new areas of vision research that all researchers can exploit. ..
  3. PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATION
    Dev Chakraborty; Fiscal Year: 2003
    ..Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used. ..
  4. New Methods for Analysis of Eye-tracking Data for Medical Image Perception Resear
    Dev P Chakraborty; Fiscal Year: 2010
    ..We propose a new approach to the analysis of eye-tracking data. With better understanding of image perception we will be better able to improve radiologist performance and reduce interpretive errors. ..