Comparing the Performance of Mammographic Enhancement Algorithms

Sivaramakrishna, Radhika; Obuchowski, Nancy A.; Chilcote, William A.; Cardenosa, G; Powell, Kimerly

doi:10.2214/ajr.175.1.1750045

Cited by 73 publications

(50 citation statements)

References 21 publications

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“…This requires successive visualization of parts of the image. At this point, one may underline the importance of the image processing step for clinical use [40]. The method of display of digital mammography with a dedicated workstation for soft-copy interpretation is also a crucial issue regarding the effective use of this technique in routine practice [6,41].…”

Section: Compromises and Performancesmentioning

confidence: 99%

Digital detectors for mammography: the technical challenges

Noël¹,

Thibault

2004

Eur Radiol

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This paper reviews the different techniques available and competing for full-field digital mammography. The detectors are described in their principles: photostimulable storage phosphor plates inserted as a cassette in a conventional mammography unit, dedicated active matrix detectors (i.e., flat-panel, thin-film transistor-based detectors) and scanning systems, using indirect and direct X-ray conversion. The main parameters that characterize the performances of the current systems and influence the quality of digital images are briefly explained: spatial resolution, detective quantum efficiency and modulation transfer function. Overall performances are often the result of compromises in the choice of technology.

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Section: Compromises and Performancesmentioning

confidence: 99%

Digital detectors for mammography: the technical challenges

Noël¹,

Thibault

2004

Eur Radiol

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“…Gordon's method [10] also defines the concept of local contrast. This method computes Michelson's contrast between the mean value of two concentric regions.…”

Section: A Related Workmentioning

confidence: 99%

Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance

Hautiére¹,

Labayrade²,

Didier³

2006

IEEE Trans. Intell. Transport. Syst.

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Abstract-An atmospheric visibility measurement system capable of quantifying the most common operating range of onboard exteroceptive sensors is a key parameter in the creation of driving assistance systems. This information is then utilized to adapt sensor operations and processing or to alert the driver that his onboard assistance system is momentarily inoperative. Moreover, a system capable of either detecting the presence of fog or estimating visibility distances constitutes in itself a driving assistance. In this paper, the authors present a technique to estimate the mobilized visibility distance through a use of onboard charge-coupled device cameras. The latter represents the distance to the most distant object on the road surface having a contrast above 5%. This definition is very close to the definition of the meteorological visibility distance proposed by the International Commission on Illumination. The method combines the computations of local contrasts above 5% and of a depth map of the vehicle environment using stereovision within 60 ms on a current-day computer. In this paper, both methods are described separately. Then, their combination is detailed. The method is operative night and day in every kind of meteorological condition and is evaluated; thanks to video sequences under sunny weather and foggy weather.

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“…In a majority of the cases with micro-calcifications, the adaptive neighbourhood contrast enhancement algorithm provided the most-preferred images (58%), followed by the unsharp masking algorithm. Feature based enhancement methods can be used to enhance both masses and micro-calcifications [7]. Chang and Laine suggested an enhancement algorithm based on over-complete multi-scale wavelet analysis [8].…”

Section: Introductionmentioning

confidence: 99%

Mammographic Image Enhancement Based on SWT and High Boost Filtering

Devi¹,

Mini²

2015

IJCTE

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Abstract-A Mammogram is a competent tool in early detection of breast cancer. Image enhancement in mammographic images increases the diagnosability of abnormalities in the images. The classical image enhancement techniques are not adept to improve the diagnostic features in mammograms. The enhancement technique proposed in this paper utilizes Stationary Wavelet Transform (SWT), modulus maxima and high boost filtering. The image is decomposed using SWT and its modulus maximum is determined. A fraction of the high pass filtered image obtained as the result of SWT decomposition and modulus maxima is added to original image. The scheme is evaluated visually and objectively using measures like contrast, PSNR etc. The performance measures are evaluated for different category of images and found to be suitable to all categories of mammographic images.

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Comparing the Performance of Mammographic Enhancement Algorithms

Cited by 73 publications

References 21 publications

Digital detectors for mammography: the technical challenges

Digital detectors for mammography: the technical challenges

Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance

Mammographic Image Enhancement Based on SWT and High Boost Filtering

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