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- W2093384165 abstract "Breast cancer is the most common cancer among women. The established screening method to detect breastcancer is X-ray mammography. However, X-ray frequently provides poor contrast of tumors located withinglandular tissue. In this case, additional modalities like MRI are used for diagnosis in clinical routine. A newimaging approach is Ultrasound Computer Tomography, generating three-dimensional speed of sound images.High speed of sound values are expected to be an indicator of cancerous structures. Therefore, the combination ofspeed of sound images and X-ray mammograms may benefit early breast cancer diagnosis. In previous work, weproposed a method based on Finite Elements to automatically register speed of sound images with the accordingmammograms. The FEM simulation overcomes the challenge that X-ray mammograms show two-dimensionalprojections of a deformed breast whereas speed of sound images render a three-dimensional undeformed breast inprone position. In this work, 15 datasets from a clinical study were used for further evaluation of the registrationquality. The quality of the registration was measured by the displacement of the center of a lesion marked in bothmodalities. We found a mean displacement of 7.1 mm. For visualization, an overlay technique was developed,which displays speed of sound information directly on the mammogram. Hence, the methodology provides agood basis for multimodal diagnosis using mammograms and speed of sound images. It proposes a guidance toolfor radiologists who may benefit from the combined information." @default.
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- W2093384165 date "2011-03-03" @default.
- W2093384165 modified "2023-09-23" @default.
- W2093384165 title "2D/3D image fusion of x-ray mammograms with speed of sound images: evaluation and visualization" @default.
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- W2093384165 doi "https://doi.org/10.1117/12.877333" @default.
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