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A fast subtraction algorithm of brain CT Angiography images based on MMBE

机译:基于MMBE的脑CT血管造影图像快速减法算法。

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Based on the traditional Matched Mask Bone Elimination (MMBE) method, this paper presents an improved subtraction method of Brain Computer Tomography Angiography (CTA) images. The method can be divided into two main parts, registration and bone elimination algorithms. Firstly, based on three-dimensional mutual information registration algorithm, this paper adapted sample and compression of gray scales through stastical analysis of the volume data to decrease data account and improve the calculate speed of registration. Then in the bone elimination algorithm, the extraction of bone mask in CT images is implemented by the combination of threshold and refinement of bone mask We proposed a method to optimize the calculation strategies to decrease the cost of calculation. Through the analysis of the experiments on the clinical image data, the developed method proposed in this paper have improved about eight times of computing speed. The operation time of brain CT/CTA images with about two hundred slices has been limited in twenty seconds. And the main arteries can be displayed clearly in three-dimensional space.
机译:基于传统的匹配面罩骨消除(MMBE)方法,本文提出了一种改进的脑计算机断层扫描血管造影(CTA)图像减法方法。该方法可以分为两个主要部分,配准和骨骼消除算法。首先,基于三维互信息配准算法,通过对体数据的统计分析,对灰度的采样和压缩进行自适应,以减少数据量,提高配准的计算速度。然后在去骨算法中,结合阈值和骨掩模的细化实现CT图像中骨掩模的提取。提出了一种优化计算策略的方法,以降低计算成本。通过对临床图像数据的实验分析,本文提出的改进方法将计算速度提高了约八倍。具有约200个切片的大脑CT / CTA图像的操作时间已限制在20秒内。而且主动脉可以在三维空间中清晰显示。

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