Abstract
Multi-Detector Computed Tomography (MDCT) is becoming increasingly important in the diagnosis of Coronary Artery Disease (CAD). Cardiac MDCT scan generally allows for reconstruction of several frames/phases in the cardiac cycle. The reconstructed images are then used to create curved multi-planar reformation (MPR) views wherein coronary lesions are best diagnosed. However, the generation of such MPR views for all potentially reconstructed phases is tedious and time consuming. Therefore, only a single phase is commonly used for diagnosis which may reduce the overall diagnostic accuracy. In the current work, we propose a new method that enable diagnosis of lesions from all reconstructed phases on a common MPR view simultaneously. Our method extracts the coronary centerline in one phase only. Next, it performs a fast registration of a region of interest between the multiple phases. Finally, the multiple phases are aligned to the MPR view and the clinician is able to review the multiple phases simultaneously. Our experiments indicate that the analysis time of multi-phase coronary CTA data can be reduced to less than 30 % of the currently required time using our method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aylward, S.R., Jomier, J., Weeks, S., Bullitt, E.: Registration and analysis of vascular images. Int. J. Comput. Vis. 55(2–3), 123–138 (2003)
Baker, S., Matthews, I.: Lucas-kanade 20 years on: a unifying framework. Int. J. Comput. Vis. 56(3), 221–255 (2004)
Chiu, A.M., Dey, D., Drangova, M., Boyd, W., Peters, T.M.: 3-d image guidance for minimally invasive robotic coronary artery bypass. Heart Surg. Forum 3, 224–231 (2000). Forum Multimedia Publishing
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)
Freiman, M., Joskowicz, L., Broide, N., Natanzon, M., Nammer, E., Shilon, O., Weizman, L., Sosna, J.: Carotid vasculature modeling from patient ct angiography studies for interventional procedures simulation. Int. J. Comput. Assist. Radiol. Surg. 7(5), 799–812 (2012)
Harrington, R.A., Bates, E.R., Bridges, C.R., Eisenberg, M.J., Ferrari, V.A., Hlatky, M.A., Jacobs, A.K., Kaul, S., Moliterno, D.J., Mukherjee, D., et al.: Accf/acr/aha/nasci/saip/scai/scct 2010 expert consensus document on cardiovascular tomographic angiography. J. Am. Coll. Cardiol. 55(23), 2663–2699 (2010)
Lucas, B.D., Kanade, T., et al.: An iterative image registration technique with an application to stereo vision. IJCAI 81, 674–679 (1981)
Metz, C.T., et al.: Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 369–376. Springer, Heidelberg (2009)
Zuluaga, M.A., Hoyos, M.H., Dávila, J.C., Uriza, L.F., Orkisz, M.: A fast lesion registration to assist coronary heart disease diagnosis in CTA images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 710–717. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Lamash, Y., Freiman, M., Goshen, L. (2014). Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-13909-8_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13908-1
Online ISBN: 978-3-319-13909-8
eBook Packages: Computer ScienceComputer Science (R0)