Kim Junhwan, Prince Martin R, Zabih Ramin, Bezanson Jeff, Watts Richard, Erel Hale E, Wang Yi
Department of Computer Science, Cornell University, New York, New York, USA.
Magn Reson Med. 2002 Dec;48(6):1004-10. doi: 10.1002/mrm.10358.
For time-resolved background-subtracted contrast-enhanced magnetic resonance angiography, the bright and sparse arterial signal allows unique identification of contrast bolus arrival in the arteries. This article presents an automatic filtering algorithm using such arterial characterization for selecting arterial phase images and mask images to generate an optimal summary arteriogram. A paired double-blinded comparison demonstrated that this automatic algorithm is as effective as the manual process.
对于时间分辨背景减法对比增强磁共振血管造影，明亮且稀疏的动脉信号能够独特地识别造影剂团在动脉中的到达。本文提出了一种利用这种动脉特征的自动滤波算法，用于选择动脉期图像和掩码图像以生成最佳的总结动脉造影图。一项配对双盲比较表明，这种自动算法与手动过程一样有效。
