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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Detectability improvement of early sign of acute stroke on brain CT images using an adaptive partial smoothing filter
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Detectability improvement of early sign of acute stroke on brain CT images using an adaptive partial smoothing filter

机译：使用自适应局部平滑滤波器改善大脑CT图像上急性卒中早期迹象的可检测性

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Detection of early infarct signs on non-enhanced CT is mandatory in patients with acute ischemic stroke. We present a method for improving the detectability of early infarct signs of acute ischemic stroke. This approach is considered as the first step for computer-aided diagnosis in acute ischemic stroke. Obscuration of the gray-white matter interface at the lentiform nucleus or the insular ribbon has been an important early infarct sign, which affects decisions on thrombolytic therapy. However, its detection is difficult, since the early infarct sign is subtle hypoattenuation. In order to improve the detectability of the early infarct sign, an image processing being able to reduce local noise with edges preserved is desirable. To cope with this issue, we devised an adaptive partial smoothing filter (APSF). Because the APSF can markedly improve the visibility of the normal gray-white matter interface, the detection of conspicuity of obscuration of gray-white matter interface due to hypoattenuation could be increased. The APSF is a specifically designed filter used to perform local smoothing using a variable filter size determined by the distribution of pixel values of edges in the region of interest. By adjusting four parameters of the APSF, an optimal condition for image enhancement can be obtained. In order to determine a major one of the parameters, preliminary simulation was performed by using composite images simulated the gray-white matter. The APSF based on preliminary simulation was applied to several clinical CT scans in hyperacute stroke patients. The results showed that the detectability of early infarct signs is much improved.
机译：对于急性缺血性卒中患者，必须在非增强型CT上检测早期梗塞征象。我们提出了一种改善急性缺血性中风的早期梗死体征的可检测性的方法。这种方法被认为是急性缺血性中风的计算机辅助诊断的第一步。在大肠状核或岛状带上的灰白色物质界面的模糊已经成为重要的早期梗死体征，这会影响溶栓治疗的决策。但是，由于早期的梗塞体征是微弱的衰减，因此很难检测到。为了改善早期梗塞体征的可检测性，期望能够在保留边缘的情况下减少局部噪声的图像处理。为了解决这个问题，我们设计了一个自适应局部平滑滤波器（APSF）。因为APSF可以显着改善正常灰白色物质界面的可见性，所以可以增加对由于低衰减而引起的灰白色物质界面模糊的显着性的检测。 APSF是一种经过特殊设计的滤波器，用于使用由感兴趣区域中边缘的像素值的分布确定的可变滤波器大小执行局部平滑。通过调整APSF的四个参数，可以获得图像增强的最佳条件。为了确定主要参数之一，使用模拟灰白色物质的合成图像进行了初步模拟。基于初步模拟的APSF已应用于超急性中风患者的几次临床CT扫描。结果表明，早期梗死体征的可检测性大大提高。

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