Contrast Enhancement in Mammography Imaging Including K Edge Filtering

Zentai, George

doi:10.5772/31622

Cited by 4 publications

(6 citation statements)

References 49 publications

(53 reference statements)

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“…The non-filtered images are considered to relatively low-energy; on the contrary, the filtered images are scanned for high-energy [9]. And then, these data were reconstructed with energy integrating, and optimal linear weighting method.…”

Section: Discussionmentioning

confidence: 99%

“…The factors are proportional to the difference between the number of photons detected by a ray traveling through a background material and a ray traveling through the background material with an embedded contrast element, and inversely proportional to the noise in the projection measurement [9].…”

Section: Methodsmentioning

confidence: 99%

“…An approach for optimal linear energy weighting in CT [9,10] is to weight and combine the energy-bin data after log normalization in order to reduce beam hardening artifacts. In this case, the optimal weights are proportional to the contrast-to-noise-variance ratio (CNVR) of the reconstructed energy-bin images, as described in Eq.…”

Section: Methodsmentioning

confidence: 99%

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Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Kang

Lee

Woo

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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This paper presents K-edge filtering and energy weighting methods which enhance the contrast with less radiation does. Usually, energy weighting methods are used with photon-counting detector based CT for each energy bin data obtained to enhance the quality of image. However, we used these methods combine with K-edge filtering in energy-integrating detector. Using K-edge filtering, different energy bin data for energy weighting methods were obtained, and then energy weighting factors were calculated to enhance the contrast of image. We report an evaluation of the contrast-to-noise ratio (CNR) of reconstructed image with and without these two methods. This evaluation was proceeded with two phantoms; one is the phantom created personally, and the other is Sendentexct IQ dental CBCT (SENDENTEXCT, EU). As for the phantom created personally, the CNR of images reconstructed with these methods were increased than CNR of standard images. It was seen that 31% to 81% in each energy weighting method for optimizing each material (cortical bone, inner bone, soft tissue, iodine (18.5 g/l), iodine (37 g/l)). In conclusion, we can enhance the contrast of CT images with less radiation dose using K-edge filtering and energy weighting method.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Kang

Lee

Woo

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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show abstract

“…Accurate measurements of gamma and X-ray spectra are very important in quality assurance of medical equipment, radiation protection, astrophysics and other research areas [1][2][3][4][5] and [6]. Semiconductor detectors are widely used for these purposes.…”

Section: Introductionmentioning

confidence: 99%

Toward utilization of MCNP5 particle track output file for simulation problems in photon spectrometry

Antić-Stanković

Marinkovic

Ciraj-Bjelac

et al. 2015

Computer Physics Communications

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“…The Image enhancement using histogram equalization is a best suitable method for medical images. The contrast of mammogram the images are enhanced using K-edge type filtering technique is presented in [9]. Women's breast are consists of adipose and glandular tissue which consists of Kedge type of energy particles.…”

Section: Introductionmentioning

confidence: 99%

A Novel method for Enhancement of Coloured Image Using DST Algorithm

2017

IJRTER

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Abstract-Image enhancement is the key processing on an image for wide range of the applications. Contrast enhancements improve the perceptibility of a image by changing the pixels intensity of an input image. In this study, a novel method for the image contrast enhancement is to proposed based on Discrete Shearlet Transform (DST) for the color images. In order to obtain high contrast enhancement image, the RGB image is to converted into HSV (Hue, Saturation and Value) color space. The converted hue color channel is only taken in to the account for the DST decomposition. After that higher sub bands of the hue component are eradicated and lower sub bands are the only considered for the reconstruction. Finally, the high contrast image is obtained by using an reconstructed Hue for HSV colour space and convert this colour space into the RGB color space. The performance of proposed contrast image enhancement method is compared with the existing histogram equalization based on the image enhancement. The visualization based results shows that the proposed contrast image enhancement system is achieve satisfactory performance.

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Contrast Enhancement in Mammography Imaging Including K Edge Filtering

Cited by 4 publications

References 49 publications

Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Toward utilization of MCNP5 particle track output file for simulation problems in photon spectrometry

A Novel method for Enhancement of Coloured Image Using DST Algorithm

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