Bullitt E, Liu A, Aylward S R, Coffey C, Stone J, Mukherji S K, Muller K E, Pizer S M
Medical Image Display and Analysis Group, University of North Carolina at Chapel Hill, 27599, USA.
Acad Radiol. 1999 Sep;6(9):539-46. doi: 10.1016/S1076-6332(99)80432-2.
The purpose of this study was to evaluate the accuracy and speed of a new, semiautomatic method of three-dimensional (3D)-two-dimensional (2D) vascular registration. This method should help guide endovascular procedures by allowing interpretation of each digital subtraction angiographic (DSA) image in terms of precreated, 3D vessel trees that contain "parent-child" connectivity information.
Connected, 3D vessel trees were created from segmented magnetic resonance (MR) angiograms. Eleven total DSA images were registered with such trees by using both our method and the current standard (manual registration). The accuracy of each method was compared by using repeated-measures analysis of variance with correction for heterogeneity of variance to evaluate separation of curve pairs on the view plane. Subjective clinical comparisons of the two registration methods were evaluated with the sign test. Registration times were evaluated for both methods and also as a function of the error in the initial estimate of MR angiographic position.
The new registration method produced results that were numerically superior to those of manual registration (P < .001) and was subjectively judged to be as good as or better by clinical reviewers. Registration time with the new method was faster (P < .001). If the rotational error in the initial estimate of MR angiographic position is less than 10 degrees around each axis, the registration itself took only 1-2 minutes.
This method is quicker than and produces results as good as or better than those of manual registration. This method should be able to calculate an initial registration matrix during endovascular embolization and adjust that matrix intermittently with registration updates provided by automatic tracking systems.
本研究旨在评估一种新型半自动三维（3D）-二维（2D）血管配准方法的准确性和速度。该方法应通过允许根据预先创建的包含“父子”连接信息的3D血管树来解释每个数字减影血管造影（DSA）图像，从而有助于指导血管内介入手术。
从分割的磁共振（MR）血管造影中创建相连的3D血管树。使用我们的方法和当前标准（手动配准）将总共11张DSA图像与此类血管树进行配准。通过使用重复测量方差分析并校正方差异质性来比较每种方法的准确性，以评估视图平面上曲线对的分离情况。使用符号检验评估两种配准方法的主观临床比较。评估两种方法的配准时间，并将其作为MR血管造影位置初始估计误差的函数进行评估。
新的配准方法产生的结果在数值上优于手动配准（P <.001），并且临床评估者主观判断其与手动配准一样好或更好。新方法的配准时间更快（P <.001）。如果MR血管造影位置初始估计中的旋转误差在每个轴周围小于10度，则配准本身仅需1 - 2分钟。
该方法比手动配准更快，并且产生的结果与手动配准一样好或更好。该方法应该能够在血管内栓塞期间计算初始配准矩阵，并根据自动跟踪系统提供的配准更新间歇性地调整该矩阵。
