Automatic tissue classification for high-resolution breast CT images based on bilateral filtering

Yang, Xiaofeng; Sechopoulos, Ioannis; Fei, Baowei

doi:10.1117/12.877881

Cited by 22 publications

(26 citation statements)

References 21 publications

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“…To simulate the acquisition of mammograms, the DBCT images were first automatically classified (Yang et al , 2011) and the mechanical compression as for mammography simulated (Zyganitidis et al , 2007) (figure 12). The resulting compressed breast representations were homogenized maintaining the glandularity of each breast.…”

Section: Estimation Of the Mean Glandular Dose Using More Realistimentioning

confidence: 99%

Dosimetry in x-ray-based breast imaging

2016

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The estimation of the mean glandular dose to the breast (MGD) for x-ray based imaging modalities forms an essential part of quality control and is needed for risk estimation and for system design and optimisation. This review considers the development of methods for estimating the MGD for mammography, digital breast tomosynthesis (DBT) and dedicated breast CT (DBCT). Almost all of the methodology used employs Monte Carlo calculated conversion factors to relate the measurable quantity, generally the incident air kerma, to the MGD. After a review of the size and composition of the female breast, the various mathematical models used are discussed, with particular emphasis on models for mammography. These range from simple geometrical shapes, to the more recent complex models based on patient DBCT examinations. The possibility of patient-specific dose estimates is considered as well as special diagnostic views and the effect of breast implants. Calculations using the complex models show that the MGD for mammography is overestimated by about 30% when the simple models are used. The design and uses of breast-simulating test phantoms for measuring incident air kerma are outlined and comparisons made between patient and phantom-based dose estimates. The most widely used national and international dosimetry protocols for mammography are based on different simple geometrical models of the breast, and harmonisation of these protocols using more complex breast models is desirable.

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Section: Estimation Of the Mean Glandular Dose Using More Realistimentioning

confidence: 99%

Dosimetry in x-ray-based breast imaging

2016

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“…Initially, the data were de-noised and segmented in order to obtain a compositional breast model composed of skin, glandular, and adipose tissues (Yang et al 2011, Yang et al 2012). The voxel size of the 3D breast model was 0.28 mm in each direction; the whole breast volume was calculated to be 380 ml, placed in a 3D matrix with size of 175 × 48 × 134 mm 3 .…”

Section: Methodsmentioning

confidence: 99%

Breast tomosynthesis with monochromatic beams: a feasibility study using Monte Carlo simulations

Malliori¹,

Bliznakova²,

Sechopoulos³

et al. 2014

Phys. Med. Biol.

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The aim of the study is to investigate the impact on image quality of using monochromatic beams for lower dose breast tomosynthesis (BT). For this purpose, modeling and simulation of BT and mammography imaging processes have been performed using two x-ray beams: one at 28kVp and a monochromatic at 19keV at different entrance surface air kerma ranging between 0.16 and 5.5 mGy. Two 4cm thick computational breast models in a compressed state were used: one simple homogeneous and one heterogeneous based on CT breast images, with compositions of 50% glandular-50% adipose and 40% glandular-60% adipose tissues by weight, respectively. Modeled lesions representing masses and calcifications were inserted within these breast phantoms. X-ray transport in the breast models was simulated with previously developed and validated Monte Carlo application. Results showed that for the same incident photon fluence, the use of the monochromatic beam in BT resulted in higher image quality compared to the one using polychromatic acquisition, especially in terms of contrast. For the homogenous phantom, the improvement ranged between 15% and 22% for calcifications and masses, respectively, while for the heterogeneous one this improvement was in the order of 33% for the masses and 17% for the calcifications. For different exposures, comparable image quality in terms of signal-difference-to-noise ratio and higher contrast for all features was obtained when using monochromatic 19keV beam at lower mean glandular dose compared to the polychromatic one. Monochromatic images provide also better detail and in combination with BT can lead to substantial improvement in visualization of features and particularly better edge detection of low-contrast masses.

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“…Therefore, a K-means clustering is applied to classify the detected fiber directions into a localized orientation group [14, 16, 17]. Given a set of data ( x̄ 1 , x̄ 2 , x̄ 3 , …, x̄ n ), where each is a 2D middle point of the detected fiber direction line.…”

Section: Methodsmentioning

confidence: 99%

Extracting cardiac myofiber orientations from high frequency ultrasound images

et al. 2013

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Cardiac myofiber plays an important role in stress mechanism during heart beating periods. The orientation of myofibers decides the effects of the stress distribution and the whole heart deformation. It is important to image and quantitatively extract these orientations for understanding the cardiac physiological and pathological mechanism and for diagnosis of chronic diseases. Ultrasound has been wildly used in cardiac diagnosis because of its ability of performing dynamic and noninvasive imaging and because of its low cost. An extraction method is proposed to automatically detect the cardiac myofiber orientations from high frequency ultrasound images. First, heart walls containing myofibers are imaged by B-mode high frequency (>20 MHz) ultrasound imaging. Second, myofiber orientations are extracted from ultrasound images using the proposed method that combines a nonlinear anisotropic diffusion filter, Canny edge detector, Hough transform, and K-means clustering. This method is validated by the results of ultrasound data from phantoms and pig hearts.

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Automatic tissue classification for high-resolution breast CT images based on bilateral filtering

Cited by 22 publications

References 21 publications

Dosimetry in x-ray-based breast imaging

Dosimetry in x-ray-based breast imaging

Breast tomosynthesis with monochromatic beams: a feasibility study using Monte Carlo simulations

Extracting cardiac myofiber orientations from high frequency ultrasound images

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