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

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

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 \(\sim \) 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.

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References

  1. Baims DS, Grossman W (2013) GROSSMAN and BAIM’S cardiac catheterization, angiography, and intervention, 8th edn. Lippincott Williams & Wilkins, Philadelphia

    Google Scholar 

  2. Wang P, Chen T, Zhu Y, Zhang W, Zhou SK, Comaniciu D (2009) Robust guidewire tracking in fluoroscopy. In: IEEE computer society conference on computer vision and pattern recognition, 2009 (CVPR 2009), pp 691–698

  3. Pauly O, Heibel H, Navab N (2010) A machine learning approach for deformable guide-wire tracking in fluoroscopic sequences. In: Lecture notes in computer science (including Subseries lecture notes in artificial intelligence, lecture notes in bioinformatics), vol 6363. LNCS, pp 343–350

  4. Heibel H, Glocker B, Groher M, Pfister M, Navab N (2013) Interventional tool tracking using discrete optimization. IEEE Trans Med Imaging 32:544–555

    Article  PubMed  Google Scholar 

  5. Chang P, Rolls A, De Praetere H, Poorten EV, Riga CV, Bicknell CD, Stoyanov D (2016) Robust catheter and guidewire tracking using B-Spline tube model and pixel-wise posteriors. IEEE Robot Autom Lett 1:303–308

    Article  Google Scholar 

  6. Ruijters D, ter Haar Romeny BM, Suetens P (2009) Vesselness-based 2D–3D registration of the coronary arteries. Int J Comput Assist Radiol Surg 4:391–397

    Article  PubMed  Google Scholar 

  7. Duong L, Liao R, Sundar H, Tailhades, B, Meyer, A, Xu, C (2009) Curve-based 2D-3D registration of coronary vessels for image guided procedure. In: Proceedings of the SPIE Medical Imaging, p 7261

  8. Rivest-Henault D, Sundar H, Cheriet M (2012) Nonrigid 2D/3D registration of coronary artery models with live fluoroscopy for guidance of cardiac interventions. IEEE Trans Med Imaging 31:1557–1572

    Article  PubMed  Google Scholar 

  9. Benseghir T, Malandain G, Vaillant R (2015) A tree-topology preserving pairing for 3D/2D registration. Int J Comput Assist Radiol Surg 10:913–923

  10. Metz CT, Schaap M, Klein S, Neefjes L, Capuano E, Schultz C, van Geuns RJ, Serruys PW, van Walsum T, Niessen WJ (2009) Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images. In: Lecture notes in computer science (Including subseries lecture notes in artificial intelligence, lecture notes in bioinformatics), vol 5761. LNCS, pp 369–376

  11. Baka N, Metz CT, Schultz C, Neefjes LA, van Geunsc RJ, Lelieveldt BPF, Niessen WJ, van Walsum T, de Bruijne M (2013) Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. Med Image Anal 17:698–709

    Article  CAS  PubMed  Google Scholar 

  12. Metz CT, Schaap M, Klein S, Baka N, Neefjes LA, Schultz CJ, Niessen WJ, van Walsum T (2013) Registration of 3D + t Coronary CTA and monoplane 2D + t X-ray angiography. IEEE Trans Med Imaging 32(5):919–931

    Article  PubMed  Google Scholar 

  13. Schneider M (2010) Model-based respiratory motion compensation for image-guided cardiac interventions. Ph.D. Dissertation, University of Friedrich-Alexander

  14. Besl P, McKay N (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14:239–256

    Article  Google Scholar 

  15. Lanzer P, Barta C, Botvinick EH, Wiesendanger HU, Modin G, Higgins CB (1985) ECG-synchronized cardiac MR imaging: method and evaluation. Radiology 155(3):681–686

    Article  CAS  PubMed  Google Scholar 

  16. Shechter G, Ozturk C, Resar JR, McVeigh ER (2004) Respiratory motion of the heart from free breathing coronary angiograms. IEEE Trans Med Imaging 23:1046–1056

    Article  PubMed  PubMed Central  Google Scholar 

  17. Shechter G, Resar JR, McVeigh ER (2006) Displacement and velocity of the coronary arteries: cardiac and respiratory motion. IEEE Trans Med Imaging 25:369–375

    Article  PubMed  PubMed Central  Google Scholar 

  18. Frangi AF, Niessen WJ, Vincken KL, Viergever MA (1998) Multiscale vessel enhancement filtering. In: International conference on medial image computing and computer-assisted intervention, pp 130–137

  19. Suzuki S, Abe K (1985) Topological structural analysis of digitized binary images by border following. Comput Vis Graph 30(1):32–46

    Article  Google Scholar 

  20. Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Prentice Hall, Upper Saddle River

    Google Scholar 

  21. Sundar H, Khamene A, Xu C, Sauer F, Davatzikos C (2006) A novel 2D–3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images. In: Proceedings of the SPIE medical imaging, p 6141

  22. Baher H (1990) Analog and digital signal processing. Wiley, Hoboken

    Google Scholar 

  23. http://medialpha.jp/book_category/en

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Acknowledgements

This work was supported by the Industrial Fusion Strategic Technology Development Program funded by the Ministry of Trade, Industry, and Energy (MI, Korea). (10049003).

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Authors and Affiliations

  1. School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

    Dongkue Kim & Jeha Ryu

  2. Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

    Sangsoo Park

  3. The Heart Center of Chonnam National University Hospital, Gwangju, Republic of Korea

    Myung Ho Jeong

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  1. Dongkue Kim
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  2. Sangsoo Park
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  3. Myung Ho Jeong
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  4. Jeha Ryu
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Correspondence to Jeha Ryu.

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Informed consent was obtained from all individual participants included in the study.

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Kim, D., Park, S., Jeong, M.H. et al. Registration of angiographic image on real-time fluoroscopic image for image-guided percutaneous coronary intervention. Int J CARS 13, 203–213 (2018). https://doi.org/10.1007/s11548-017-1689-z

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  • DOI: https://doi.org/10.1007/s11548-017-1689-z

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