Literature DB >> 29170866

Registration of angiographic image on real-time fluoroscopic image for image-guided percutaneous coronary intervention.

Dongkue Kim1, Sangsoo Park2, Myung Ho Jeong3, Jeha Ryu4.   

Abstract

PURPOSE: In percutaneous coronary intervention (PCI), cardiologists must study two different X-ray image sources: a fluoroscopic image and an angiogram. Manipulating a guidewire while alternately monitoring the two separate images on separate screens requires a deep understanding of the anatomy of coronary vessels and substantial training. We propose 2D/2D spatiotemporal image registration of the two images in a single image in order to provide cardiologists with enhanced visual guidance in PCI.
METHODS: The proposed 2D/2D spatiotemporal registration method uses a cross-correlation of two ECG series in each image to temporally synchronize two separate images and register an angiographic image onto the fluoroscopic image. A guidewire centerline is then extracted from the fluoroscopic image in real time, and the alignment of the centerline with vessel outlines of the chosen angiographic image is optimized using the iterative closest point algorithm for spatial registration.
RESULTS: A proof-of-concept evaluation with a phantom coronary vessel model with engineering students showed an error reduction rate greater than 74% on wrong insertion to nontarget branches compared to the non-registration method and more than 47% reduction in the task completion time in performing guidewire manipulation for very difficult tasks. Evaluation with a small number of experienced doctors shows a potentially significant reduction in both task completion time and error rate for difficult tasks. The total registration time with real procedure X-ray (angiographic and fluoroscopic) images takes [Formula: see text] 60 ms, which is within the fluoroscopic image acquisition rate of 15 Hz.
CONCLUSIONS: By providing cardiologists with better visual guidance in PCI, the proposed spatiotemporal image registration method is shown to be useful in advancing the guidewire to the coronary vessel branches, especially those difficult to insert into.

Entities:  

Keywords:  Angiogram; Fluoroscopy; Image-guided percutaneous coronary intervention; X-ray image registration

Mesh:

Year:  2017        PMID: 29170866     DOI: 10.1007/s11548-017-1689-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  11 in total

1.  Respiratory motion of the heart from free breathing coronary angiograms.

Authors:  Guy Shechter; Cengizhan Ozturk; Jon R Resar; Elliot R McVeigh
Journal:  IEEE Trans Med Imaging       Date:  2004-08       Impact factor: 10.048

2.  Nonrigid 2D/3D registration of coronary artery models with live fluoroscopy for guidance of cardiac interventions.

Authors:  David Rivest-Hénault; Hari Sundar; Mohamed Cheriet
Journal:  IEEE Trans Med Imaging       Date:  2012-04-17       Impact factor: 10.048

3.  A machine learning approach for deformable guide-wire tracking in fluoroscopic sequences.

Authors:  Olivier Pauly; Hauke Heibel; Nassir Navab
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

4.  Displacement and velocity of the coronary arteries: cardiac and respiratory motion.

Authors:  Guy Shechter; Jon R Resar; Elliot R McVeigh
Journal:  IEEE Trans Med Imaging       Date:  2006-03       Impact factor: 10.048

5.  A tree-topology preserving pairing for 3D/2D registration.

Authors:  Thomas Benseghir; Grégoire Malandain; Régis Vaillant
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-23       Impact factor: 2.924

6.  Interventional tool tracking using discrete optimization.

Authors:  Hauke Heibel; Ben Glocker; Martin Groher; Marcus Pfister; Nassir Navab
Journal:  IEEE Trans Med Imaging       Date:  2012-12-10       Impact factor: 10.048

7.  ECG-synchronized cardiac MR imaging: method and evaluation.

Authors:  P Lanzer; C Barta; E H Botvinick; H U Wiesendanger; G Modin; C B Higgins
Journal:  Radiology       Date:  1985-06       Impact factor: 11.105

8.  Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images.

Authors:  Coert T Metz; Michiel Schaap; Stefan Klein; Lisan A Neefjes; Ermanno Capuano; Carl Schultz; Robert Jan van Geuns; Patrick W Serruys; Theo van Walsum; Wiro J Niessen
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

9.  Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA.

Authors:  N Baka; C T Metz; C Schultz; L Neefjes; R J van Geuns; B P F Lelieveldt; W J Niessen; T van Walsum; M de Bruijne
Journal:  Med Image Anal       Date:  2013-03-27       Impact factor: 8.545

10.  Registration of 3D+t coronary CTA and monoplane 2D+t X-ray angiography.

Authors:  Coert T Metz; Michiel Schaap; Stefan Klein; Nora Baka; Lisan A Neefjes; Carl J Schultz; Wiro J Niessen; Theo van Walsum
Journal:  IEEE Trans Med Imaging       Date:  2013-02-06       Impact factor: 10.048

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  1 in total

1.  Cardiac X-ray image-based haptic guidance for robot-assisted coronary intervention: a feasibility study.

Authors:  Abdullah Tahir; Hashim Iqbal; Muhammad Usman; Asim Ghaffar; Awais Hafeez
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-01-18       Impact factor: 2.924

  1 in total

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