Image Quality Assessment via Segmentation of Breast Lesion in X-ray and Ultrasound Phantom Images from Fischer's Full Field Digital Mammography and Ultrasound (FFDMUS) System
نویسندگان
چکیده
منابع مشابه
Combining Adaptive Segmentation Approach for Improving Multi-resolution Image Registration on X-ray Mammograms Acquired Using Fischer’s Fused Full Field Digital Mammography and Ultrasound System (ffdmus)
Mammogram registration can help avoid biopsies and help follow-up analysis. Mammogram registration is a challenge because of the compressibility of the breast tissue. We used the CIRS breast phantom image to study the registration methodology. The phantom images were acquired in Fused Full Field Digital Mammogram and Ultrasound (FFDMUS) framework. The acquired images were registered using our p...
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The main objective of this project is to segment different breast ultrasound images to find out lesion area by discarding the low contrast regions as well as the inherent speckle noise. The proposed method consists of three stages (removing noise, segmentation, classification) in order to extract the correct lesion. We used normalized cuts approach to segment ultrasound images into regions of i...
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Ultrasound (US) B-mode images often show intensity inhomogeneities caused by an ultrasonic beam attenuation within the body. Due to this artifact, the conventional segmentation approaches based on intensity or intensity-statistics often do not obtain accurate results. In this paper, Markov Random Fields (MRF) and a maximum a posteriori (MAP) framework in combination with US image spatial inform...
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Effects of x-ray scattering on full-field digital mammography are analyzed with the scattering model of Seibert and Boone [Med. Phys. 15, 567-575 (1988)]. A new method is introduced for the estimation of model parameters from measurements. It is shown that with breasts thinner than a certain threshold, removing the anti-scatter grid leads to an improved contrast-to-noise ratio with a smaller pa...
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ژورنال
عنوان ژورنال: Technology in Cancer Research & Treatment
سال: 2005
ISSN: 1533-0346,1533-0338
DOI: 10.1177/153303460500400111