Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography

Stimpel B, Wetzl J, Forman C, Schmidt M, Maier A, Unberath M (2018)

Publication Type: Journal article

Publication year: 2018

Journal

Publisher: MDPI Multidisciplinary Digital Publishing Institute

Book Volume: 4

Pages Range: 1-17

Journal Issue: 11

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stimpel18-ACA.pdf

DOI: 10.3390/jimaging4110124

Abstract

Congenital anomalies of the coronary ostia can lead to sudden death. A screening solution would be useful to prevent adverse outcomes for the affected individuals. To be considered for integration into clinical routine, such a procedure must meet strict constraints in terms of invasiveness, time and user interaction. Imaging must be fast and seamlessly integrable into the clinical process. Non-contrast enhanced coronary magnetic resonance angiography (MRA) is well suited for this. Furthermore, planar reformations proved effective to reduce the acquired volumetric datasets to 2D images. These usually require time consuming user interaction, though. To fulfill the aforementioned challenges, we present a fully automated solution for imaging and reformatting of the proximal coronary arteries which enables rapid screening of these. The proposed pipeline consists of: (I) highly accelerated single breath-hold MRA data acquisition, (II) coronary ostia detection and vessel centerline extraction, and (III) curved planar reformation of the proximal coronary arteries, as well as multiplanar reformation of the coronary ostia. The procedure proved robust and effective in ten volunteer data sets. Imaging of the proximal coronary arteries took 24±5 s and was successful within one breath-hold for all patients. The extracted centerlines achieve an overlap of 0.76±0.18 compared to the reference standard and the average distance of the centerline points from the spherical surface for reformation was 1.1±0.51 mm. The promising results encourage further experiments on patient data, particularly in coronary ostia anomaly screening.

Authors with CRIS profile

Involved external institutions

Siemens Healthineers Germany (DE) Siemens AG, Healthcare Sector Germany (DE)

How to cite

APA:

Stimpel, B., Wetzl, J., Forman, C., Schmidt, M., Maier, A., & Unberath, M. (2018). Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography. Journal of Imaging, 4(11), 1-17. https://dx.doi.org/10.3390/jimaging4110124

MLA:

Stimpel, Bernhard, et al. "Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography." Journal of Imaging 4.11 (2018): 1-17.

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