Moosavi Tayebi Rohollah, Wirza Rahmita, Sulaiman Puteri S B, Dimon Mohd Zamrin, Khalid Fatimah, Al-Surmi Aqeel, Mazaheri Samaneh
Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia.
Department of Computer Engineering, Islamic Azad University, Shahr-e-Qods branch, Tehran, Iran.
J Cardiothorac Surg. 2015 Apr 22;10:58. doi: 10.1186/s13019-015-0249-2.
Computerized tomographic angiography (3D data representing the coronary arteries) and X-ray angiography (2D X-ray image sequences providing information about coronary arteries and their stenosis) are standard and popular assessment tools utilized for medical diagnosis of coronary artery diseases. At present, the results of both modalities are individually analyzed by specialists and it is difficult for them to mentally connect the details of these two techniques. The aim of this work is to assist medical diagnosis by providing specialists with the relationship between computerized tomographic angiography and X-ray angiography.
In this study, coronary arteries from two modalities are registered in order to create a 3D reconstruction of the stenosis position. The proposed method starts with coronary artery segmentation and labeling for both modalities. Then, stenosis and relevant labeled artery in X-ray angiography image are marked by a specialist. Proper control points for the marked artery in both modalities are automatically detected and normalized. Then, a geometrical transformation function is computed using these control points. Finally, this function is utilized to register the marked artery from the X-ray angiography image on the computerized tomographic angiography and get the 3D position of the stenosis lesion.
The result is a 3D informative model consisting of stenosis and coronary arteries' information from the X-ray angiography and computerized tomographic angiography modalities. The results of the proposed method for coronary artery segmentation, labeling and 3D reconstruction are evaluated and validated on the dataset containing both modalities.
The advantage of this method is to aid specialists to determine a visual relationship between the correspondent coronary arteries from two modalities and also set up a connection between stenosis points from an X-ray angiography along with their 3D positions on the coronary arteries from computerized tomographic angiography. Moreover, another benefit of this work is that the medical acquisition standards remain unchanged, which means that no calibration in the acquisition devices is required. It can be applied on most computerized tomographic angiography and angiography devices.
计算机断层血管造影(代表冠状动脉的三维数据)和X射线血管造影(提供冠状动脉及其狭窄信息的二维X射线图像序列)是用于冠状动脉疾病医学诊断的标准且常用的评估工具。目前,这两种检查方式的结果由专家分别分析,他们很难在脑海中关联这两种技术的细节。这项工作的目的是通过向专家提供计算机断层血管造影和X射线血管造影之间的关系来辅助医学诊断。
在本研究中,对两种检查方式下的冠状动脉进行配准,以创建狭窄位置的三维重建。所提出的方法首先对两种检查方式的冠状动脉进行分割和标记。然后,由专家在X射线血管造影图像中标记狭窄及相关标记动脉。自动检测并归一化两种检查方式下标记动脉的合适控制点。接着,使用这些控制点计算几何变换函数。最后,利用该函数将X射线血管造影图像中的标记动脉配准到计算机断层血管造影上,得到狭窄病变的三维位置。
结果是一个三维信息模型,包含来自X射线血管造影和计算机断层血管造影检查方式的狭窄及冠状动脉信息。所提出的冠状动脉分割、标记和三维重建方法的结果在包含两种检查方式的数据集上进行了评估和验证。
该方法的优点是有助于专家确定两种检查方式下相应冠状动脉之间的视觉关系关系,还能在X射线血管造影的狭窄点与其在计算机断层血管造影冠状动脉上的三维位置之间建立联系。此外,这项工作的另一个好处是医学采集标准保持不变,这意味着采集设备无需校准。它可应用于大多数计算机断层血管造影和血管造影设备。