Next Article in Journal
Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning
Previous Article in Journal
An Overview of Watershed Algorithm Implementations in Open Source Libraries
Open AccessArticle

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

1
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
2
Siemens Healthcare GmbH, Magnetic Resonance, 91052 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Bernhard Stimpel is also with Department of Neuroradiology, University Clinics Erlangen, 91054 Erlangen, Germany.
Mathias Unberath is now with Computer Aided Medical Procedures, John Hopkins University, Baltimore, MD 21218, USA.
J. Imaging 2018, 4(11), 124; https://doi.org/10.3390/jimaging4110124
Received: 5 September 2018 / Revised: 15 October 2018 / Accepted: 18 October 2018 / Published: 23 October 2018
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. View Full-Text
Keywords: magnetic resonance angiography; coronary artery; computer-aided detection and diagnosis; planar reformation magnetic resonance angiography; coronary artery; computer-aided detection and diagnosis; planar reformation
Show Figures

Figure 1

MDPI and ACS Style

Stimpel, B.; Wetzl, J.; Forman, C.; Schmidt, M.; Maier, A.; Unberath, M. Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography. J. Imaging 2018, 4, 124.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop