title: 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration.
abstract: BACKGROUND
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. moosavi.tayebi@gmail.com.|Department of Computer Engineering, Islamic Azad University, Shahr-e-Qods branch, Tehran, Iran. moosavi.tayebi@gmail.com.
authors.forename: Rohollah
authors.initials: R
authors.lastname: Moosavi Tayebi
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. r.wirza@gmail.com.
authors.forename: Rahmita
authors.initials: R
authors.lastname: Wirza
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. psuhaiza@upm.edu.my.
authors.forename: Puteri S B
authors.initials: PS
authors.lastname: Sulaiman
authors.affiliation: Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, UiTM, Selangor, Malaysia. drzamrin@gmail.com.
authors.forename: Mohd Zamrin
authors.initials: MZ
authors.lastname: Dimon
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. fatimahk@upm.edu.my.
authors.forename: Fatimah
authors.initials: F
authors.lastname: Khalid
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. aqeel_ye@yahoo.com.
authors.forename: Aqeel
authors.initials: A
authors.lastname: Al-Surmi
authors.affiliation: Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. mahta.mazaheri@gmail.com.
authors.forename: Samaneh
authors.initials: S
authors.lastname: Mazaheri
mesh_terms: D000465:Algorithms; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000175:diagnosis / Q000000981:diagnostic imaging*; D023921:Coronary Stenosis / Q000175:diagnosis / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D064847:Multimodal Imaging; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*