Literature DB >> 15575409

A quantitative analysis of 3-D coronary modeling from two or more projection images.

B Movassaghi1, V Rasche, M Grass, M A Viergever, W J Niessen.   

Abstract

A method is introduced to examine the geometrical accuracy of the three-dimensional (3-D) representation of coronary arteries from multiple (two and more) calibrated two-dimensional (2-D) angiographic projections. When involving more then two projections, (multiprojection modeling) a novel procedure is presented that consists of fully automated centerline and width determination in all available projections based on the information provided by the semi-automated centerline detection in two initial calibrated projections. The accuracy of the 3-D coronary modeling approach is determined by a quantitative examination of the 3-D centerline point position and the 3-D cross sectional area of the reconstructed objects. The measurements are based on the analysis of calibrated phantom and calibrated coronary 2-D projection data. From this analysis a confidence region (alpha degrees approximately equal to [35 degrees - 145 degrees]) for the angular distance of two initial projection images is determined for which the modeling procedure is sufficiently accurate for the applied system. Within this angular border range the centerline position error is less then 0.8 mm, in terms of the Euclidean distance to a predefined ground truth. When involving more projections using our new procedure, experiments show that when the initial pair of projection images has an angular distance in the range alpha degrees approximately equal to [35 degrees - 145 degrees], the centerlines in all other projections (gamma = 0 degrees - 180 degrees) were indicated very precisely without any additional centering procedure. When involving additional projection images in the modeling procedure a more realistic shape of the structure can be provided. In case of the concave segment, however, the involvement of multiple projections does not necessarily provide a more realistic shape of the reconstructed structure.

Mesh:

Year:  2004        PMID: 15575409     DOI: 10.1109/TMI.2004.837340

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography.

Authors:  Rui Liao; Duong Luc; Yiyong Sun; Klaus Kirchberg
Journal:  Int J Cardiovasc Imaging       Date:  2009-11-03       Impact factor: 2.357

2.  Calibration-free device sizing using an inverse geometry x-ray system.

Authors:  Michael T Tomkowiak; Michael A Speidel; Amish N Raval; Michael S Van Lysel
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

3.  Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation.

Authors:  Ina Vernikouskaya; Wolfgang Rottbauer; Julia Seeger; Birgid Gonska; Jochen Wöhrle; Volker Rasche
Journal:  J Vis Exp       Date:  2018-06-03       Impact factor: 1.355

4.  Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models.

Authors:  Joel A Garcia; Babak Movassaghi; Ivan P Casserly; Andrew J Klein; S-Y James Chen; John C Messenger; Adam Hansgen; Onno Wink; Bertron M Groves; John D Carroll
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-20       Impact factor: 2.357

5.  Patient-specific registration of 3D CT angiography (CTA) with X-ray fluoroscopy for image fusion during transcatheter aortic valve implantation (TAVI) increases performance of the procedure.

Authors:  I Vernikouskaya; W Rottbauer; J Seeger; B Gonska; V Rasche; Jochen Wöhrle
Journal:  Clin Res Cardiol       Date:  2018-02-16       Impact factor: 5.460

Review 6.  Optimization of acquisition trajectories for 3D rotational coronary venography.

Authors:  Jingying Bi; Michael Grass; Dirk Schäfer
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-09-19       Impact factor: 2.924

7.  3D reconstruction of coronary arteries from 2D angiographic projections using non-uniform rational basis splines (NURBS) for accurate modelling of coronary stenoses.

Authors:  Francesca Galassi; Mohammad Alkhalil; Regent Lee; Philip Martindale; Rajesh K Kharbanda; Keith M Channon; Vicente Grau; Robin P Choudhury
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

8.  Three-dimensional reconstruction and NURBS-based structured meshing of coronary arteries from the conventional X-ray angiography projection images.

Authors:  Arso M Vukicevic; Serkan Çimen; Nikola Jagic; Gordana Jovicic; Alejandro F Frangi; Nenad Filipovic
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

9.  3D-XGuide: open-source X-ray navigation guidance system.

Authors:  Ina Vernikouskaya; Dagmar Bertsche; Wolfgang Rottbauer; Volker Rasche
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-10-15       Impact factor: 2.924

10.  The importance of three dimensional coronary artery reconstruction accuracy when computing virtual fractional flow reserve from invasive angiography.

Authors:  Roshni Solanki; Rebecca Gosling; Vignesh Rammohan; Giulia Pederzani; Pankaj Garg; James Heppenstall; D Rodney Hose; Patricia V Lawford; Andrew J Narracott; John Fenner; Julian P Gunn; Paul D Morris
Journal:  Sci Rep       Date:  2021-10-04       Impact factor: 4.996

  10 in total

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