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  1. Article ; Online: Clinical relevance of the ROC and free-response paradigms for comparing imaging system efficacies.

    Chakraborty, D P

    Radiation protection dosimetry

    2010  Volume 139, Issue 1-3, Page(s) 37–41

    Abstract: Observer performance studies are widely used to assess medical imaging systems. Unlike technical/engineering measurements observer performance include the entire imaging chain and the radiologist. However, the widely used receiver operating ... ...

    Abstract Observer performance studies are widely used to assess medical imaging systems. Unlike technical/engineering measurements observer performance include the entire imaging chain and the radiologist. However, the widely used receiver operating characteristic (ROC) method ignores lesion localisation information. The free-response ROC (FROC) method uses the location information to appropriately reward or penalise correct or incorrect localisations, respectively. This paper describes a method for improving the clinical relevance of FROC studies. The method consists of assigning appropriate risk values to the different lesions that may be present on a single image. A high-risk lesion is one that is critical to detect and act upon, and is assigned a higher risk value than a low-risk lesion, one that is relatively innocuous. Instead of simply counting the number of lesions that are detected, as is done in conventional FROC analysis, a risk-weighted count is used. This has the advantage of rewarding detections of high-risk lesions commensurately more than detections of lower risk lesions. Simulations were used to demonstrate that the new method, termed case-based analysis, results in a higher figure of merit for an expert who detects more high-risk lesions than a naive observer who detects more low-risk lesions, even though both detect the same total number of lesions. Conventional free-response analysis is unable to distinguish between the two types of observers. This paper also comments on the issue of clinical relevance of ROC analysis vs. FROC for tasks that involve lesion localisation.
    MeSH term(s) Algorithms ; Image Enhancement/methods ; Image Interpretation, Computer-Assisted/methods ; ROC Curve ; Reproducibility of Results ; Sensitivity and Specificity
    Language English
    Publishing date 2010-02-05
    Publishing country England
    Document type Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 225912-6
    ISSN 1742-3406 ; 0144-8420
    ISSN (online) 1742-3406
    ISSN 0144-8420
    DOI 10.1093/rpd/ncq017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A status report on free-response analysis.

    Chakraborty, D P

    Radiation protection dosimetry

    2010  Volume 139, Issue 1-3, Page(s) 20–25

    Abstract: The purpose of this paper is to summarise recent progress in free-response receiver operating characteristic (FROC) methodology. These are: (1) jackknife alternative FROC analysis including recent extensions and alternative methods; (2) the search-model ... ...

    Abstract The purpose of this paper is to summarise recent progress in free-response receiver operating characteristic (FROC) methodology. These are: (1) jackknife alternative FROC analysis including recent extensions and alternative methods; (2) the search-model simulator that enables validation and objective comparison of different methods of analysing the data; (3) case-based analysis that has the potential of greater clinical relevance than conventional free-response analysis; (4) a method for collectively analysing the multiple lesion types in an image (e.g. microcalcifications, masses and architectural distortions); (5) a method for sample-size estimation for FROC studies; and (6) a method for determining an objective proximity criterion, namely how close must a mark be to a true lesion in order to credit the observer for a true localisation. FROC analysis is being increasingly used to evaluate the imaging systems and understanding of recent progress should help researchers conduct better FROC studies.
    MeSH term(s) Algorithms ; Image Enhancement/methods ; Image Interpretation, Computer-Assisted/methods ; ROC Curve ; Reproducibility of Results ; Sensitivity and Specificity
    Language English
    Publishing date 2010-01-18
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 225912-6
    ISSN 1742-3406 ; 0144-8420
    ISSN (online) 1742-3406
    ISSN 0144-8420
    DOI 10.1093/rpd/ncp305
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: ROC curves predicted by a model of visual search.

    Chakraborty, D P

    Physics in medicine and biology

    2006  Volume 51, Issue 14, Page(s) 3463–3482

    Abstract: In imaging tasks where the observer is uncertain whether lesions are present, and where they could be present, the image is searched for lesions. In the free-response paradigm, which closely reflects this task, the observer provides data in the form of a ...

    Abstract In imaging tasks where the observer is uncertain whether lesions are present, and where they could be present, the image is searched for lesions. In the free-response paradigm, which closely reflects this task, the observer provides data in the form of a variable number of mark-rating pairs per image. In a companion paper a statistical model of visual search has been proposed that has parameters characterizing the perceived lesion signal-to-noise ratio, the ability of the observer to avoid marking non-lesion locations, and the ability of the observer to find lesions. The aim of this work is to relate the search model parameters to receiver operating characteristic (ROC) curves that would result if the observer reported the rating of the most suspicious finding on an image as the overall rating. Also presented are the probability density functions (pdfs) of the underlying latent decision variables corresponding to the highest rating for normal and abnormal images. The search-model-predicted ROC curves are 'proper' in the sense of never crossing the chance diagonal and the slope is monotonically changing. They also have the interesting property of not allowing the observer to move the operating point continuously from the origin to (1, 1). For certain choices of parameters the operating points are predicted to be clustered near the initial steep region of the curve, as has been observed by other investigators. The pdfs are non-Gaussians, markedly so for the abnormal images and for certain choices of parameter values, and provide an explanation for the well-known observation that experimental ROC data generally imply a wider pdf for abnormal images than for normal images. Some features of search-model-predicted ROC curves and pdfs resemble those predicted by the contaminated binormal model, but there are significant differences. The search model appears to provide physical explanations for several aspects of experimental ROC curves.
    MeSH term(s) Algorithms ; Area Under Curve ; Data Interpretation, Statistical ; Humans ; Likelihood Functions ; Models, Statistical ; Normal Distribution ; Observer Variation ; ROC Curve ; Radiology/methods ; Radiology/standards ; Visual Perception
    Language English
    Publishing date 2006-07-21
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/0031-9155/51/14/013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A search model and figure of merit for observer data acquired according to the free-response paradigm.

    Chakraborty, D P

    Physics in medicine and biology

    2006  Volume 51, Issue 14, Page(s) 3449–3462

    Abstract: Search is a basic activity that is performed routinely in many different tasks. In the context of medical imaging it involves locating lesions in images under conditions of uncertainty regarding the number and locations of lesions that may be present. A ... ...

    Abstract Search is a basic activity that is performed routinely in many different tasks. In the context of medical imaging it involves locating lesions in images under conditions of uncertainty regarding the number and locations of lesions that may be present. A search model is presented that applies to situations, as in the free-response paradigm, where on each image the number of normal regions that could be mistaken for lesions is unknown, and the number of observer generated localizations of suspicious regions (marks) is unpredictable. The search model is based on a two-stage model that has been proposed in the literature, according to which, at the first stage (the preattentive stage) the observer uses mainly peripheral vision to identify likely lesion candidates, and at the second stage the observer decides (i.e., cognitively evaluates) whether or not to report the candidates. The search model regards the unpredictable numbers of lesion and non-lesion localizations as random variables and models them via appropriate statistical distributions. The model has three parameters quantifying the lesion signal-to-noise ratio, the observer's expertise at rejecting non-lesion locations, and the observer's expertise at finding lesions. A figure-of-merit quantifying the observer's search performance is described. The search model bears a close resemblance to the initial detection and candidate analysis (IDCA) model that has been recently proposed for analysing computer aided detection (CAD) algorithms. 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.
    MeSH term(s) Algorithms ; Humans ; Normal Distribution ; Observer Variation ; Poisson Distribution ; ROC Curve ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiology/methods ; Radiology/standards ; Visual Perception
    Language English
    Publishing date 2006-07-21
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/0031-9155/51/14/012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Data analysis for detection and localization of multiple abnormalities with application to mammography.

    Chakraborty, D P

    Academic radiology

    2000  Volume 7, Issue 7, Page(s) 553–4; discussion 554–6

    MeSH term(s) Breast Neoplasms/diagnostic imaging ; Female ; Humans ; Mammography/methods ; Mammography/statistics & numerical data ; Observer Variation ; ROC Curve ; Radiographic Image Enhancement ; Sensitivity and Specificity
    Language English
    Publishing date 2000-07
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1355509-1
    ISSN 1076-6332
    ISSN 1076-6332
    DOI 10.1016/s1076-6332(00)80329-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Operating characteristics predicted by models for diagnostic tasks involving lesion localization.

    Chakraborty, D P / Yoon, Hong-Jun

    Medical physics

    2008  Volume 35, Issue 2, Page(s) 435–445

    Abstract: In 1996 Swensson published an observer model that predicted receiver operating characteristic (ROC), localization ROC (LROC), free-response ROC (FROC) and alternative FROC (AFROC) curves, thereby achieving "unification" of different observer performance ... ...

    Abstract In 1996 Swensson published an observer model that predicted receiver operating characteristic (ROC), localization ROC (LROC), free-response ROC (FROC) and alternative FROC (AFROC) curves, thereby achieving "unification" of different observer performance paradigms. More recently a model termed initial detection and candidate analysis (IDCA) has been proposed for fitting computer aided detection (CAD) generated FROC data, and recently a search model for human observer FROC data has been proposed. The purpose of this study was to derive IDCA and the search model based expressions for operating characteristics, and to compare the predictions to the Swensson model. For three out of four mammography CAD data sets all models yielded good fits in the high-confidence region, i.e., near the lower end of the plots. The search model and IDCA tended to better fit the data in the low-confidence region, i.e., near the upper end of the plots, particularly for FROC curves for which the Swensson model predictions departed markedly from the data. For one data set none of the models yielded satisfactory fits. A unique characteristic of search model and IDCA predicted operating characteristics is that the operating point is not allowed to move continuously to the lowest confidence limit of the corresponding Swensson model curves. 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.
    MeSH term(s) Breast Neoplasms/diagnostic imaging ; Computer Simulation ; Female ; Humans ; Mammography/methods ; Models, Biological ; ROC Curve ; Radiographic Image Interpretation, Computer-Assisted/methods ; Reproducibility of Results ; Sensitivity and Specificity
    Language English
    Publishing date 2008-02-29
    Publishing country United States
    Document type Evaluation Study ; Journal Article ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 188780-4
    ISSN 0094-2405
    ISSN 0094-2405
    DOI 10.1118/1.2820902
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: The effect of the antiscatter grid on full-field digital mammography phantom images.

    Chakraborty, D P

    Journal of digital imaging

    1999  Volume 12, Issue 1, Page(s) 12–22

    Abstract: Computer Analysis of Mammography Phantom Images (CAMPI) is a method for making quantitative measurements of image quality. This article reports on a recent application of this method to a prototype full-field digital mammography (FFDM) machine. Images of ...

    Abstract Computer Analysis of Mammography Phantom Images (CAMPI) is a method for making quantitative measurements of image quality. This article reports on a recent application of this method to a prototype full-field digital mammography (FFDM) machine. Images of a modified ACR phantom were acquired on the General Electric Diagnostic Molybdenum Rhodium (GE-DMR) FFDM machine at a number of x-ray techniques, both with and without the scatter reduction grid. The techniques were chosen so that one had sets of grid and non-grid images with matched doses (200 mrads) and matched gray-scale values (1500). A third set was acquired at constant 26 kVp and varying mAs for both grid conditions. Analyses of the images yielded signal-to-noise-ratio (SNR), contrast and noise corresponding to each target object, and a non-uniformity measure. The results showed that under conditions of equal gray-scale value the grid images were markedly superior, albeit at higher doses than the non-grid images. Under constant dose conditions, the non-grid images were slightly superior in SNR (7%) but markedly less uniform (60%). Overall, the grid images had substantially greater contrast and superior image uniformity. These conclusions applied to the whole kVp range studied for the Mo-Mo target filter combination and 4 cm of breast equivalent material of average composition. These results suggest that use of the non-grid technique in digital mammography with the GE-DMR-FFDM unit, is presently not warranted. With improved uniformity correction procedure, this conclusion would change and one should be able to realize a 14% reduction in patient dose at the same SNR by using a non-grid technique.
    MeSH term(s) Artifacts ; Breast/pathology ; Female ; Filtration/instrumentation ; Humans ; Image Processing, Computer-Assisted ; Mammography/instrumentation ; Mammography/methods ; Molybdenum ; Phantoms, Imaging ; Radiation Dosage ; Radiographic Image Enhancement/instrumentation ; Radiographic Image Enhancement/methods ; Rhodium ; Scattering, Radiation
    Chemical Substances Molybdenum (81AH48963U) ; Rhodium (DMK383DSAC)
    Language English
    Publishing date 1999-02
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 1033897-4
    ISSN 1618-727X ; 0897-1889
    ISSN (online) 1618-727X
    ISSN 0897-1889
    DOI 10.1007/bf03168622
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Computer analysis of mammography phantom images (CAMPI): an application to the measurement of microcalcification image quality of directly acquired digital images.

    Chakraborty, D P

    Medical physics

    1997  Volume 24, Issue 8, Page(s) 1269–1277

    Abstract: The purpose of this investigation was to apply the recently developed CAMPI (computer analysis of mammography phantom images) method to a Fischer Mammotest Stereotactic Digital Biopsy machine. Another aim was to further elucidate the nature of the ... ...

    Abstract The purpose of this investigation was to apply the recently developed CAMPI (computer analysis of mammography phantom images) method to a Fischer Mammotest Stereotactic Digital Biopsy machine. Another aim was to further elucidate the nature of the empirically introduced CAMPI measures. Images of an American College of Radiology (ACR) accreditation phantom centered on the largest two speck groups were obtained on this machine under a variety of x-ray conditions. An additional measure, alternative SNR (ASNR) is introduced which is complementary to the SNR measure. Analyses of the Mammotest images revealed that the mAs and kVp dependencies of the CAMPI measures could be understood from basic imaging physics principles. It is shown that: (1) the measures reflect the expected linearity of the digital detector and Poisson photon statistics; (2) under automatic exposure control (AEC) conditions the signal (SIG) measure is proportional to subject contrast; and (3) under AEC conditions the noise (NOI) measure is proportional to the square root of the average absorbed photon energy. Correspondence with basic imaging physics principles shows that the measures are significantly free of artifacts. Precision of the CAMPI measures exceeds that of human observers by orders of magnitude. CAMPI measures are expected to be more relevant to clinical mammography than Fourier metrics as the measurements are done on objects of arbitrary shape and size that were designed by the manufacturer to resemble various detection tasks in mammography. It is concluded that CAMPI can perform objective and highly precise evaluations of phantom image quality in mammography. It could be used as a sophisticated quality control tool, as a replacement for the current ACR/MQSA phantom evaluation program, and to evaluate the rapidly evolving digital mammography technology.
    MeSH term(s) Biophysical Phenomena ; Biophysics ; Breast Diseases/diagnostic imaging ; Breast Neoplasms/diagnostic imaging ; Calcinosis/diagnostic imaging ; Evaluation Studies as Topic ; Female ; Humans ; Mammography/methods ; Mammography/statistics & numerical data ; Phantoms, Imaging ; Radiographic Image Enhancement/methods ; Technology, Radiologic
    Language English
    Publishing date 1997-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 188780-4
    ISSN 0094-2405
    ISSN 0094-2405
    DOI 10.1118/1.598149
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Carbazole alkaloids. IV.

    Chakraborty, D P / Roy, Shyamali

    Fortschritte der Chemie organischer Naturstoffe = Progress in the chemistry of organic natural products. Progres dans la chimie des substances organiques naturelles

    2003  Volume 85, Page(s) 125–230

    MeSH term(s) Alkaloids/chemistry ; Alkaloids/isolation & purification ; Alkaloids/pharmacology ; Biological Factors/chemistry ; Biological Factors/isolation & purification ; Biological Factors/pharmacology ; Carbazoles/chemistry ; Carbazoles/isolation & purification ; Carbazoles/pharmacology ; Cyclization ; Molecular Structure ; Plants, Medicinal/chemistry
    Chemical Substances Alkaloids ; Biological Factors ; Carbazoles
    Language English
    Publishing date 2003-02-24
    Publishing country Austria
    Document type Journal Article ; Review
    ZDB-ID 2092-8
    ISSN 0071-7886
    ISSN 0071-7886
    DOI 10.1007/978-3-7091-6051-0_3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Chemical examination of Podophyllum emodi Wall. var. hexandrum (Royle).

    CHAKRAVARTI, S C / CHAKRABORTY, D P

    Journal of the American Pharmaceutical Association. American Pharmaceutical Association

    2003  Volume 43, Issue 10, Page(s) 614–615

    MeSH term(s) Berberidaceae ; Podophyllin ; Podophyllum
    Chemical Substances Podophyllin (9000-55-9)
    Language English
    Publishing date 2003-08-13
    Publishing country United States
    Document type Journal Article
    DOI 10.1002/jps.3030431012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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