Literature DB >> 16689269

Reconstruction of coronary arteries from a single rotational X-ray projection sequence.

Christophe Blondel1, Grégoire Malandain, Régis Vaillant, Nicholas Ayache.   

Abstract

Cardiovascular diseases remain the primary cause of death in developed countries. In most cases, exploration of possibly underlying coronary artery pathologies is performed using X-ray coronary angiography. Current clinical routine in coronary angiography is directly conducted in two-dimensional projection images from several static viewing angles. However, for diagnosis and treatment purposes, coronary artery reconstruction is highly suitable. The purpose of this study is to provide physicians with a three-dimensional (3-D) model of coronary arteries, e.g., for absolute 3-D measures for lesion assessment, instead of direct projective measures deduced from the images, which are highly dependent on the viewing angle. In this paper, we propose a novel method to reconstruct coronary arteries from one single rotational X-ray projection sequence. As a side result, we also obtain an estimation of the coronary artery motion. Our method consists of three main consecutive steps: 1) 3-D reconstruction of coronary artery centerlines, including respiratory motion compensation; 2) coronary artery four-dimensional motion computation; 3) 3-D tomographic reconstruction of coronary arteries, involving compensation for respiratory and cardiac motions. We present some experiments on clinical datasets, and the feasibility of a true 3-D Quantitative Coronary Analysis is demonstrated.

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Year:  2006        PMID: 16689269     DOI: 10.1109/TMI.2006.873224

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


  16 in total

1.  A model-based reconstruction method for 3-D rotational coronary angiography.

Authors:  Lizhe Xie; Yining Hu; Jean-Claude Nunes; Jean-Jacques Bellanger; Marc Bedossa; Limin Luo; Christine Toumoulin
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  ECG gated tomographic reconstruction for 3-D rotational coronary angiography.

Authors:  Yining Hu; Lizhe Xie; Jean Claude Nunes; Jean Jacques Bellanger; Marc Bedossa; Christine Toumoulin
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Simulation environment for the evaluation of 3D coronary tree reconstruction algorithms in rotational angiography.

Authors:  G Yang; A Bousse; C Toumoulin; H Shu
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

4.  Motion compensated tomography reconstruction of coronary arteries in rotational angiography.

Authors:  Alexandre Bousse Ast; Jian Zhou; Guanyu Yang; Jean-Jacques Bellanger; Christine Toumoulin
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-14       Impact factor: 4.538

5.  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

6.  Evaluation of interpolation methods for surface-based motion compensated tomographic reconstruction for cardiac angiographic C-arm data.

Authors:  Kerstin Müller; Chris Schwemmer; Joachim Hornegger; Yefeng Zheng; Yang Wang; Günter Lauritsch; Christopher Rohkohl; Andreas K Maier; Carl Schultz; Rebecca Fahrig
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

7.  Computer Vision Techniques for Transcatheter Intervention.

Authors:  Feng Zhao; Xianghua Xie; Matthew Roach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-06-18       Impact factor: 3.316

Review 8.  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

9.  Sequential vessel segmentation via deep channel attention network.

Authors:  Dongdong Hao; Song Ding; Linwei Qiu; Yisong Lv; Baowei Fei; Yueqi Zhu; Binjie Qin
Journal:  Neural Netw       Date:  2020-05-13

10.  Respiratory Motion Compensation Using Diaphragm Tracking for Cone-Beam C-Arm CT: A Simulation and a Phantom Study.

Authors:  Marco Bögel; Hannes G Hofmann; Joachim Hornegger; Rebecca Fahrig; Stefan Britzen; Andreas Maier
Journal:  Int J Biomed Imaging       Date:  2013-06-06
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