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GPU-based 3D SAFT reconstruction including attenuation correction

机译：基于GPU的3D SAFT重建，包括衰减校正

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3D Ultrasound Computer Tomography (3D USCT) promises reproducible high-resolution images for early detection of breast tumors. The KIT prototype provides three different modalities: reflectivity, speed of sound, and attenuation. The reflectivity images are reconstructed using a Synthetic Aperture Focusing Technique (SAFT) algorithm. For high-resolution reflectivity images, with spatially homogeneous reflectivity, attenuation correction is necessary. In this paper we present a GPU accelerated attenuation correction for 3D USCT and evaluate the method by means of image quality metrics; i.e. absolute error, contrast and spatially homogeneous reflectivity. A threshold for attenuation correction was introduced to preserve a high contrast. Simulated and in-vivo data were used for analysis of the image quality. Attenuation correction increases the image quality by improving spatially homogeneous reflectivity by 25 %. This leads to a factor 2.8 higher contrast for in-vivo data.
机译：3D超声电脑断层扫描（3D USCT）承诺可重复的高分辨率图像以早期检测乳腺肿瘤。套件原型提供三种不同的方式：反射率，声音速度和衰减。使用合成孔径聚焦技术（SAFT）算法重建反射率图像。对于高分辨率反射率图像，具有空间均匀的反射率，需要衰减校正。在本文中，我们提出了一种GPU加速衰减校正3D USCT，并通过图像质量指标评估方法;即绝对误差，对比度和空间均匀反射率。引入了衰减校正的阈值以保持高对比度。模拟和体内数据用于分析图像质量。衰减校正通过将空间均匀的反射率提高25％来增加图像质量。这导致了对体内数据的较高对比度的因子2.8。

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