On-Axis and Off-Axis Viewing of Images on CRT Displays and LCDs

Krupiński, Elizabeth A.; Johnson, Jeffrey P.; Roehrig, Hans; Nafziger, John S.; Lubin, Jeffrey

doi:10.1016/j.acra.2005.04.015

Cited by 32 publications

(16 citation statements)

References 23 publications

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“…In addition, our work employed more than twice the number of anatomical backgrounds (200 mammographic backgrounds versus 80 in other work) and mass templates (200 versus 80). The findings of our study are consistent with that of previous studies in concluding that the impact of display modality on diagnostic accuracy is extremely limited (23). This experiment differed from previous studies in that it used a categorical rating paradigm.…”

Section: Discussionsupporting

confidence: 92%

“…Three earlier works examined observer performance for different chest radiography tasks, the detection of pulmonary nodules and detection of catheters, but did not find statistically significant differences between LCDs and CRTs (26 -28). A study on breast mass detection (23,29) found that LCDs yielded slightly better performance than CRTs, but not by a statistically significant margin (A z ϭ 0.91 Ϯ 0.01 for LCDs vs. A z ϭ 0.90 Ϯ 0.02 for CRTs) (23). Our study examined a wider range of clinical tasks, including the detection of benign and malignant masses and the detection of microcalcifications and the discrimination of masses.…”

Section: Discussionmentioning

confidence: 94%

“…After viewing the displayed mammogram, the radiologist rated the image into one of four categories: microcalcifications present, a benign mass present, a malignant mass present, or no lesion present. The radiologists were asked to view each display straight ahead and centered to minimize any confounding effects from off-axis viewing (23). The radiologists were allowed to choose their viewing distance based on their comfort with most choosing a distance of approximately 50 cm.…”

Section: Observer Performance Experimentsmentioning

confidence: 99%

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Comparison of LCD and CRT Displays Based on Efficacy for Digital Mammography

et al. 2006

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 94%

Section: Observer Performance Experimentsmentioning

confidence: 99%

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Comparison of LCD and CRT Displays Based on Efficacy for Digital Mammography

et al. 2006

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“…[11][12][13] This constrains the VDM analysis to cases in which signal present and absent pairs exist or can be generated by the removal or addition of a lesion signal. 14 In this study, an alternate method was applied using VDM channel features to compute the discriminability of two regions within a single image.…”

Section: Discussionmentioning

confidence: 99%

Visual image quality metrics for optimization of breast tomosynthesis acquisition technique

Johnson

Mertelmeier

et al. 2007

Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment

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Breast tomosynthesis is currently an investigational imaging technique requiring optimization of its many combinations of data acquisition and image reconstruction parameters for optimum clinical use. In this study, the effects of several acquisition parameters on the visual conspicuity of diagnostic features were evaluated for three breast specimens using a visual discrimination model (VDM). Acquisition parameters included total exposure, number of views, full resolution and binning modes, and lag correction. The diagnostic features considered in these specimens were mass margins, microcalcifications, and mass spicules. Metrics of feature contrast were computed for each image by defining two regions containing the selected feature (Signal) and surrounding background (Noise), and then computing the difference in VDM channel metrics between Signal and Noise regions in units of just-noticeable differences (JNDs). Scans with 25 views and exposure levels comparable to a standard two-view mammography exam produced higher levels of feature contrast. The effects of binning and lag correction on feature contrast were found to be generally small and isolated, consistent with our visual assessments of the images. Binning produced a slight loss of spatial resolution which could be compensated in the reconstruction filter. These results suggest that good image quality can be achieved with the faster and therefore more clinically practical 25-view scans with binning, which can be performed in as little as 12.5 seconds. Further work will investigate other specimens as well as alternate figures of merit in order to help determine optimal acquisition and reconstruction parameters for clinical trials.

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“…Computerbased models of the human visual system that predict just-noticeable differences (JNDs) between study (e.g., compressed) and reference (uncompressed) images have been used in radiology imaging research. [13][14][15][16] We found that comparing JNDs between original and various compression images could estimate a compression ratio just under the threshold of humanly detectable differences.…”

mentioning

confidence: 98%