Using a human visual system model to optimize soft-copy mammography display: influence of MTF compensation

Krupiński, Elizabeth A.; Johnson, Jeffrey P.; Roehrig, Hans; Engstrom, Michael; Fan, Jiahua; Nafziger, John S.; Lubin, Jeffrey; Dallas, William J.

doi:10.1016/s1076-6332(03)00293-9

Cited by 31 publications

(13 citation statements)

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“…gray-level stretching, an image-processing technique used to maximize the brightness and contrast of the image data) the area inside the window. With an additional click of a mouse button, they could activate an MTF compensation algorithm 14,15 to improve the detectability of image details. Whether or not they used window/level, the magnifier and the MTF compensation function was recorded.…”

Section: Methodsmentioning

confidence: 99%

“…The study did not involve human observers, but a computer-based detection scheme had improved performance with the processed images compared to the originals. In another study, Krupinski et al 14 found that a method to compensate for MTF deficiencies of the display improved observer performance significantly in the detection of microcalcifications. This study did not include masses and only used 512 Â 512 regions of interest from mammograms instead of the complete image.…”

Section: Introductionmentioning

confidence: 99%

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Differential Use of Image Enhancement Techniques by Experienced and Inexperienced Observers

et al. 2005

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Full-field digital mammography (FFDM) systems are currently being used to acquire mammograms in digital format, but digital displays are less than ideal compared to traditional film-screen display. Certain physical properties of softcopy displays [e.g., modulation transfer function (MTF)] are less than optimal compared to film. We developed methods to compensate for some of these softcopy display deficiencies, based on careful physical characterization of the displays and image-processing software. A series of 100 FFDM and 60 digitized images was shown to six observers-half experienced (mammographers) and half inexperienced (radiology residents). The observers had to decide if a mass or microcalcification cluster was present and classify it as benign or malignant. A window could be activated that brought the image detail within the window to full resolution and corrected for the nonisotropic MTF of the Cathode Ray Tube (CRT) display. Experienced readers had better diagnostic performance and took less time to view the images. Experienced readers used window/level more than inexperienced readers, but inexperienced readers used magnification and the MTF compensation tool more often. Use of the magnification and the MTF tool increased reader decision confidence. Experienced and inexperienced readers use image-processing tools differently, with certain tools increasing reader confidence. Understanding how observers use image-processing tools may help in the development of better and more automated user interfaces.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Differential Use of Image Enhancement Techniques by Experienced and Inexperienced Observers

et al. 2005

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“…The veiling glare (see Figure 1) of the LCD was significantly lower than for the CRT; and the MTF was essentially isotropic for the LCD but non-isotropic for the CRT. 15 The Visual Discrimination Model (VDM) model that we have used previously [12][13][14][15] is the JNDmetrix model (JND = Just Noticeable Difference) developed by the Sarnoff Corporation. [16][17] It predicts observer performance in visual discrimination tasks.…”

Section: Methodsmentioning

confidence: 99%

“…Another goal was to investigate the use of a human visual system model to predict observer performance. [12][13][14][15] We use human visual system models stems because observer studies using Receiver Operating Characteristic (ROC) …”

Section: Introductionmentioning

confidence: 99%

Viewing images on and off axis with CRT and LCD monitors: effects on observer and model performance

et al. 2005

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CRT displays are generally used for softcopy display in the digital reading room, but LCDs are being used more frequently. LCDs have many useful properties, but can suffer from significant degradation when viewed off-axis. We compared observer performance and human visual system model performance for on and off-axis CRT and LCD viewing. 400 mammographic regions of interest with different lesion contrasts were shown on and off-axis to radiologists on a CRT and LCD. Receiver Operating Characteristic (ROC) techniques were used to analyze observer performance and results were correlated with the predictions of the human vision model (JNDmetrix model). Both sets of performance metrics showed that LCD on-axis viewing was better than the CRT; and off-axis was significantly better with the CRT. Off-axis LCD viewing of radiographs can degrade observer performance compared to a CRT.

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“…In order to reduce the need to perform extensive ROC studies, we have been evaluating the JNDmetrix visual discrimination model (VDM) for predicting human performance in visual detection and discrimination tasks. This presentation will summarize, update, and supplement some of the major results from our recent studies of displays for digital radiography [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 93%

Human visual system modeling for selecting the optimal display for digital radiography

Johnson

Krupiński

Roehrig

et al. 2004

International Congress Series

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Using a human visual system model to optimize soft-copy mammography display: influence of MTF compensation

Cited by 31 publications

References 10 publications

Differential Use of Image Enhancement Techniques by Experienced and Inexperienced Observers

Differential Use of Image Enhancement Techniques by Experienced and Inexperienced Observers

Viewing images on and off axis with CRT and LCD monitors: effects on observer and model performance

Human visual system modeling for selecting the optimal display for digital radiography

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