Skip to main content
Log in

An interactive software module for visualizing coronary arteries in CT angiography

  • Original Article
  • Published:
International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Object

A new software module for coronary artery segmentation and visualization in CT angiography (CTA) datasets is presented, which aims to interactively segment coronary arteries and visualize them in 3D with maximum intensity projection (MIP) and volume rendering (VRT).

Materials and Methods

The software was built as a plug-in for the open-source PACS workstation OsiriX. The main segmentation function is based an optimized “virtual contrast injection” algorithm, which uses fuzzy connectedness of the vessel lumen to separate the contrast-filled structures from each other. The software was evaluated in 42 clinical coronary CTA datasets acquired with 64-slice CT using isotropic voxels of 0.3–0.5 mm.

Results

The median processing time was 6.4 min, and 100% of main branches (right coronary artery, left circumflex artery and left anterior descending artery) and 86.9% (219/252) of visible minor branches were intact. Visually correct centerlines were obtained automatically in 94.7% (321/339) of the intact branches.

Conclusion

The new software is a promising tool for coronary CTA post-processing providing good overviews of the coronary artery with limited user interaction on low-end hardware, and the coronary CTA diagnosis procedure could potentially be more time-efficient than using thin-slab technique.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Hoffmann U, Ferencik M, Cury RC, Pena AJ (2006) Coronary CT angiography. J Nucl Med 47: 797–806

    PubMed  Google Scholar 

  2. Fishman EK, Ney DR, Heath DG, Corl FM, Horton KM, Johnson PT (2006) Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why. Radiographics 26: 905–922

    Article  PubMed  Google Scholar 

  3. Leclerc X, Godefroy O, Lucas C, Benhaim JF, Michel TS, Leys D, Pruvo JP (1999) Internal carotid arterial stenosis: CT angiography with volume rendering. Radiology 210: 673–682

    PubMed  CAS  Google Scholar 

  4. van Ooijen PMA, Ho KY, Dorgelo J, Oudkerk M (2003) Coronary artery imaging with multidetector CT: visualization issues. Radiographics 23: e16

    Article  PubMed  Google Scholar 

  5. Tizon X, Smedby Ö (2002) Segmentation with gray-scale connectedness can separate arteries and veins in MRA. J Magn Reson Imaging 15: 438–445

    Article  PubMed  Google Scholar 

  6. Löfving A, Tizon X, Persson P, Smedby Ö (2006) Angiographic visualization of the coronary arteries in computed tomography angiography with virtual contrast injection. Int J Radiol 4

  7. Wang C, Smedby Ö (2007) Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 10: 311–318

    PubMed  Google Scholar 

  8. Rosset A, Spadola L, Ratib O (2004) OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 17: 205–216

    Article  PubMed  Google Scholar 

  9. Udupa JK, Saha PK (2003) Fuzzy connectedness and image segmentation. Proc IEEE 91: 1649–1669

    Article  Google Scholar 

  10. Hadwiger M, Berger C, Hauser H (2003) High-quality two-level volume rendering of segmented data sets on consumer graphics hardware. Proc IEEE vis 301–308

  11. Ferencik M, Ropers D, Abbara S, Cury RC, Hoffmann U, Nieman K, Brady TJ, Moselewski F, Daniel WG, Achenbach S (2007) Diagnostic accuracy of image postprocessing methods for the detection of coronary artery stenoses by using multidetector CT. Radiology 243: 696–702

    Article  PubMed  Google Scholar 

  12. Lei T, Udupa JK, Odhner D, Nyul LG, Saha PK (2003) 3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images. Comput Med Imaging Graph 27: 351–362

    Article  PubMed  Google Scholar 

  13. Silén C, Wirell S, Kvist J, Nylander E, Smedby Ö Advanced 3D visualization in student-centred medical education. Med Teach (accepted)

  14. Smedby Ö, Wirell S, Kvist J, Silén C, Petersson G, Fyrenius A, Nylander E (2007) Interactive volume rendering 3D images for anatomy learning on low-end computers. ECR -Eur Radiol 17(Suppl 1): 391–392

    Google Scholar 

  15. Florin C, Paragios N, Williams J (2005) Particle filters, a quasi-Monte–Carlo-solution for segmentation of coronaries. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 8: 246–253

    PubMed  Google Scholar 

  16. Hennemuth A, Boskamp T, Fritz D, Kuhnel C, Bock S, Rinck D, Scheuering M, Peitgen HO (2005) One-click coronary tree segmentation in CT angiographic images. Int Congr Ser 1281: 317–321

    Article  Google Scholar 

  17. Khan MF, Wesarg S, Gurung J, Dogan S, Maataoui A, Brehmer B, Herzog C, Ackermann H, Aβmus B, Vogl TJ (2006) Facilitating coronary artery evaluation in MDCT using a 3D automatic vessel segmentation tool. Eur Radiol 16: 1789–1795

    Article  PubMed  Google Scholar 

  18. Wang C, Kihlberg J, Persson A, Smedby Ö (2007) Artery-vein separation in vasovist enhanced MR angiograms with virtual contrast injection. In: 19th International workshop on MR angiography, Istanbul

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chunliang Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, C., Frimmel, H., Persson, A. et al. An interactive software module for visualizing coronary arteries in CT angiography. Int J CARS 3, 11–18 (2008). https://doi.org/10.1007/s11548-008-0160-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11548-008-0160-6

Keywords

Navigation