Abstract
Background Contrast-enhanced whole heart coronary Magnetic Resonance Angiography (MRA) at 3.0 Tesla (T) allows noninvasive detection of obstructive stenoses. Automated vessel segmentation and tracking of centerlines is important for quantitative measurement of stenosis, but remains challenging for coronary MRA. We aimed to develop and validate automated coronary artery segmentation from contrastenhanced whole-heart coronary Magnetic Resonance Angiography at 3.0T.
Highlights
Contrast-enhanced whole heart coronary Magnetic Resonance Angiography (MRA) at 3.0 Tesla (T) allows noninvasive detection of obstructive stenoses
We aimed to develop and validate automated coronary artery segmentation from contrastenhanced whole-heart coronary Magnetic Resonance Angiography at 3.0T
Automated coronary vessel tracking (AVT) was performed by an algorithm which simultaneously searches for the vascular centerlines and radius, by maximizing a vessel likelihood cost function derived from the directional radial gradients computed from coronary MRA, from a manually placed proximal to a distal end voxel
Summary
Contrast-enhanced whole heart coronary Magnetic Resonance Angiography (MRA) at 3.0 Tesla (T) allows noninvasive detection of obstructive stenoses. Automated vessel segmentation and tracking of centerlines is important for quantitative measurement of stenosis, but remains challenging for coronary MRA. We aimed to develop and validate automated coronary artery segmentation from contrastenhanced whole-heart coronary Magnetic Resonance Angiography at 3.0T
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