AREA BEAM EQUALIZATION FOR X-RAY ANGIOGRAPHY

描述（改编自申请人摘要）：申请人提出， 开发用于数字荧光透视的X射线束均衡技术 将产生具有最小图像的均衡射线照片的应用 伪影和管装载。 具体而言，目标是：（1） 活塞尺寸和焦斑范围的影响研究 使用物理幻影的图像均衡的模糊。 (2)设计与 为自动化图像构建必要的硬件和软件 均衡系统 (3)X射线束 均衡产生具有显著改善的信噪比的图像 比（S/N）和最小的图像伪影使用物理幻影。 （四） X射线束均衡产生的假设的研究 使用物理模型显著改善碘定量。 （五） X射线束均衡技术假设的研究 可以在使用猪动物的冠状动脉造影术期间可靠地使用 模型 这项研究的结果将从根本上改善 低和高帧速率应用的图像。 该技术具有 几个潜在的应用。 其中一个应用是消除 提高了数字血管造影图像的信噪比。 这对于心脏密度非常高的心脏成像尤其如此 在非常透射的肺野附近，这导致显著的S/N 心脏区域的退化。 X射线消除亮点 波束均衡允许以最佳S/N采集整个图像。 此外，该技术提供了显著改善的碘 在图像的欠穿透区域中进行定量。

DESCRIPTION (Adapted from Applicant's Abstract): The applicants proposed to develop an x-ray beam equalization technique for digital fluoroscopic applications that will produce an equalized radiograph with minimal image artifacts and tube loading. More specifically the aim are: (1) Investigation of the effect of piston size and the extent of focal spot blurring on image equalization using physical phantoms. (2) design and construction of the necessary hardware and software for an automated image equalization system. (3) Investigation of the hypothesis that x-ray beam equalization produces an image with significantly improved signal-to-noise ratio (S/N) and minimal image artifacts using physical phantoms. (4) Investigation of the hypothesis that x-ray beam equalization produces significantly improved iodine quantification using physical phantoms. (5) Investigation of the hypothesis that the x-ray beam equalization technique can be reliably utilized during coronary angiography using a swine animal model. The results of this research will provide fundamentally improved images for both low and high frame rate applications. This technique has several potential applications. One of the applications is the elimination of bright spots and improvement of image S/N in digital angiographic images. This is particularly true for cardiac imaging where the heart is very dense near a very transmissive lung field which causes a significant S/N degradation over the heart region. The elimination of bright spots by x-ray beam equalization allows the entire image to be acquired with optimal S/N. Furthermore, this technique provides significantly improved iodine quantification in the under penetrated regions of the image.