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High Quality Image of Biomedical Object by X-ray Refraction Based Contrast Computed Tomography

机译:基于X射线折射的生物医学对象的高质量图像基于对比度计算断层扫描

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Recently we have developed a new Computed Tomography (CT) algorithm for refraction contrast that uses the optics of diffraction-enhanced imaging. We applied this new method to visualize soft tissue which is not visualized by the current absorption based contrast. The meaning of the contrast that appears in refraction-contrast X-ray CT images must be clarified from a biologic or anatomic point of view. It has been reported that the contrast is made with the specific gravity map with a range of approximately 10 μarc sec. However, the relationship between the contrast and biologic or anatomic findings has not been investigated, to our knowledge. We compared refraction-contrast X-ray CT images with microscopic X-ray images, and we evaluated refractive indexes of pathologic lesions on phase-contrast X-ray CT images. We focused our attenuation of breast cancer and lung cancer as samples. X-ray refraction based Computed Tomography was appeared to be a pathological ability to depict the boundary between cancer nest and normal tissue, and inner structure of the disease.
机译:最近,我们开发了一种新的计算机断层扫描(CT)算法,用于折射对比度,该折射对比度使用衍射增强的成像光学元件。我们将这种新方法应用于可视化软组织,该软组织未被基于电流的吸收对比度可视化。必须从生物学或解剖视点阐明折射对比X射线CT图像中出现的对比度的含义。据报道,对比度是用大约10μARC秒的比重图制造的对比度。然而,对造影和生物学或解剖结果之间的关系尚未调查我们的知识。我们将折射率X射线CT图像与微观X射线图像进行比较,并且我们在相位对比X射线CT图像上评估了病理病变的折射率。我们将乳腺癌和肺癌的衰减重点是样品。基于X射线折射的计算断层扫描似乎是描述癌巢和正常组织之间的边界的病理能力,以及疾病的内部结构。

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