Mammographic microcalcifications: detection with xerography, screen-film, and digitized film display.

Smathers, Ralph L.; Bush, Emily; Drace, John E.; Stevens, Martin; Sommer, F. Graham; Brown, Brenna; Karras, B

doi:10.1148/radiology.159.3.3704149

Cited by 40 publications

(17 citation statements)

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“…Perisinakis et al [4] demonstrated that the enhancement of image features through post-processing (zooming) of both digitised contact images and geometric magnification mammograms equally improved the visualisation of subtle microcalcifications that are only rarely identified in standard full-field screen-film mammograms. Similar results have been reported by Vyborny et al [11], Smathers et al [14] and Powell et al [15]. These authors also showed that lesion visualisation achieved with geometric magnification mammograms (without the application of further post-processing) was similar to that achieved by electronic magnification and processing of the contact full-field image.…”

supporting

confidence: 85%

“…If this is the case, zooming offers the advantages that it would not contribute any additional radiation exposure to the patient and, in addition, could decrease the workflow and cost [4,11,14,15]. These authors also showed that lesion visualisation provided by geometrically magnified mammograms (without further post-processing) was similar to Figure 7.…”

Section: Discussionmentioning

confidence: 83%

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Can electronic zoom replace magnification in mammography? A comparative Monte Carlo study

Koutalonis¹,

Delis²,

Pascoal³

et al. 2010

BJR

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ABSTRACT. Magnification, which is considered to be a relatively high "dose cost" mammographic technique, is a complementary examination performed on women exhibiting breast complaints or abnormalities. Particular attention is given to the imaging procedure as the primary aim is to confirm the existence of suspected abnormalities, despite the additional dose. The introduction of post-processing capabilities and the widespread use of digital mammography promoted some controversy in the last decades on whether electronic zoom performed on the derived initial screening mammogram can effectively replace this technique. This study used Monte Carlo simulation methods to derive simulated screening mammograms produced under several exposure conditions, aiming to electronically magnify and compare them to the corresponding magnification mammograms. Comparison was based on quantitative measurements of image quality, namely contrast to noise ratio (CNR) and spatial resolution. Results demonstrated that CNR was higher for geometric magnification compared to the case of electronic zooming. The percentage difference was higher for lesions of smaller radius and achieved 29% for 0.10 mm details. Although spatial resolution is maintained high in the zoomed images, when investigating microcalcifications of 0.05 mm radius or less, only with geometric magnification can they be visualised.

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supporting

confidence: 85%

Section: Discussionmentioning

confidence: 83%

Can electronic zoom replace magnification in mammography? A comparative Monte Carlo study

Koutalonis¹,

Delis²,

Pascoal³

et al. 2010

BJR

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“…6 Smathers improved the visibility of small objects in images by intensity band-filtering. 7 Chan used unsharpmasking to reduce image noise to improve detection of clustered calcifications. 8 Chan, Hale, and Yin have tested other image processing methods on digitized mammograms with variable results.…”

mentioning

confidence: 99%

Does intensity windowing improve the detection of simulated calcifications in dense mammograms?

et al. 1997

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This study attempts to determine whether intensity windowing (IW) improves detection of simulated calcifications in dense mammograms. Clusters of five simulated calcifications were embedded in dense mammograms digitized at 50-1~m pixels, 12 bits deep. Film images with no windowing applied were compared with film images with nine different window widths and levels applied. A simulated cluster was embedded in a realistic background of dense breast tissue, with the position of the cluster varied. The key variables involved in each trial included the position of the cluster, contrast level of the cluster, and the IW settings applied to the image. Combining the ten IW conditions, four contrast levels and four quadrant positions gave 160 combinations. The trials were constructed by pairing 160 combinations of key variables with 160 backgrounds. The entire experiment consisted of 800 trials. Twenty student observers were asked to detect the quadrant of the image in which the mass was Iocated. There was a statistically significant improvement in detection performance for clusters of calcifications when the window width was set at 1024 with a level of 3328, and when the window width was set at 1024 with a level cf 3456. The selected IW settings should be tested in the clinic with digital mammograms to determine whether calcification detection performance can be improved. Copyright 9 1997 by W.B. Saunders CompanyKEY WORDS: mammography, image processing, intensity windowing, observer studies, calcifications, computers, radiology.M AMMOGRAPHY, especially in women with dense breasts, is not perfectly sensitive to all cancers. Approximately 10% to 15% of palpable malignancies are not visible mammographically. ~ Tbere is some reason to believe that digital mammography rnight allow for greater contrast and improved detection of small and early tumors over standard film screen technology, especially ir image processing is used to improve image contrast. 2,3There are many potentially useful image processing algorithms, and each algorithm has a number of parameters that can be systematically varied to improve or worsen lesion detectability. Radiologists cannot and should not evaluate these algorithms in the clinic with real patients. Such a task would be overwhelming and potentially could cause much unnecessary patient anxiety. Ideally, a test set of image phantorns with simulated lesions in known locations should be used to test each potentially useful algorithm and its attendant parameters in the laboratory setting before any patient's images ate interpreted using these algorithms. We have developed such a laboratory method for evaluation of image processing algorithms. 4 In previous work, we have shown that detection performance with the application of contrast limited adaptive equalization (CLAHE) to digitized mammograms is parallel for radiologists and student observers. 4 Using the same experimental paradigm, we report here on whether intensity windowing (IW) can improve the detection of calcifications in dense mammograms in...

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“…As non-linear filters like Median filters [9], Wiener filters [15] provide better results by providing better edge preservation and good PSNR values so these are mostly used for biomedical image denoising. Various other filters like unsharp masking [12], digital unsharp masking [7] and spatial band pass filtering [13] have also been used for the contrast enhancement of mammographic images. Soft computing (ICCC-2015) techniques are applied to match the spectra to the type of problem [11].…”

Section: Introductionmentioning

confidence: 99%

Biomedical Image Enhancement Using Wavelets

Khatkar

Kumar

2015

Procedia Computer Science

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As image enhancement is the main issue for biomedical image diagnosis, the aim of this paper is to present a method to enhance the biomedical images. In this paper, a combination of wavelets is used for the same. In the method after applying SIFT(Scale Invariant Feature Transforms) algorithm on the image the first wavelet D'Mayer is applied, then image is extracted and the second wavelet Coieflet is applied on the image. The results of the proposed method have been compared with other wavelets on the basis of different metrics like PSNR (Peak signal to noise ratio) and Beta coefficient and it has been found that the proposed method provides better results than the other methods.

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Mammographic microcalcifications: detection with xerography, screen-film, and digitized film display.

Cited by 40 publications

References 0 publications

Can electronic zoom replace magnification in mammography? A comparative Monte Carlo study

Can electronic zoom replace magnification in mammography? A comparative Monte Carlo study

Does intensity windowing improve the detection of simulated calcifications in dense mammograms?

Biomedical Image Enhancement Using Wavelets

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