Kwon Sung Min, Kim Yong Sun, Kim Tae-Sung, Ra Jong Beom
Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1, Guseongdong, Yuseonggu, Daejeon 305-701, South Korea.
Comput Med Imaging Graph. 2004 Oct;28(7):391-400. doi: 10.1016/j.compmedimag.2004.06.003.
A novel method for fast, automatic 3D digital subtraction CT angiography (DS-CTA) is presented to generate artifact-free angiograms. The proposed method consists of two steps: 3D registration to align a CT image to the CT angiography (CTA) image and subtraction-and-refinement to extract blood vessels only. For efficient and accurate 3D registration in the first step, an normalized mutual information (NMI) based algorithm is adopted, and its fast version is developed by introducing a new measure. To further improve the subtracted image quality in the second step, a novel 3D refinement algorithm is suggested to effectively remove unwanted residuals. Experimental results of seven clinical CT/CTA head datasets demonstrate that cerebral vessels are well extracted from CTA images with almost no loss. The typical processing time is 3-9 min depending on the image size in a PC with a 2.4 GHz CPU.
提出了一种用于快速、自动的三维数字减影CT血管造影（DS-CTA）的新方法，以生成无伪影的血管造影图像。所提出的方法包括两个步骤：三维配准，将CT图像与CT血管造影（CTA）图像对齐；减法与细化，仅提取血管。在第一步中，为了实现高效、准确的三维配准，采用了一种基于归一化互信息（NMI）的算法，并通过引入一种新的度量来开发其快速版本。为了在第二步中进一步提高减影图像质量，提出了一种新颖的三维细化算法，以有效去除不需要的残留。七个临床CT/CTA头部数据集的实验结果表明，从CTA图像中能很好地提取脑血管，几乎没有损失。在配备2.4 GHz CPU的个人电脑上，根据图像大小，典型的处理时间为3-9分钟。
