【摘要】 CT系统在诊断时,金属作为一种高密度的物体在射线通过时的衰减系数比人体其他组织高很多,从而引起X射线被这些物体作用后急剧衰减,导致对应的投影数据失真,重建时图像上会出现伪影。这些由于金属置入物带来的伪影被统称为金属伪影。而传统的方法不能完全准确分割,所以不满足临床要求。应用均值漂移分割图像技术分割金属图像,并应用临床数据进行了验证,结果证明均值漂移分割技术用于CT金属伪影去除分割过程效果比较理想。更多还原

【Abstract】 In the diagnosis of CT system, as a high density of object, metal has a higher attenuation coefficient than other tissues of human body, which greatly attenuates X-ray, resulting in data distortion of corresponding projection, and artifact on reconstruction image. These artifacts caused by metal implants are referred as metal artifacts. Conventional segmentation methods are not accurate enough and can not be used as clinical analysis. In this paper, a state of the art Mean-Shift technique is employed to improve the accuracy of metallic object segmentation. Real patient datasets are studied to evaluate the efficacy of the method. The result shows that the method can effectively reduce CT metal artifact.更多还原