Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method

Objectives To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements. Methods Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evalua...

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Bibliographic Details
Published in:European radiology 2016-05, Vol.26 (5), p.1503-1511
Main Authors: Varga-Szemes, Akos, Muscogiuri, Giuseppe, Schoepf, U. Joseph, Wichmann, Julian L., Suranyi, Pal, De Cecco, Carlo N., Cannaò, Paola M., Renker, Matthias, Mangold, Stefanie, Fox, Mary A., Ruzsics, Balazs
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Automation
Cardiac
Diagnostic Radiology
Feasibility Studies
Female
Heart Ventricles - pathology
Humans
Imaging
Internal Medicine
Interventional Radiology
Magnetic Resonance Angiography - methods
Magnetic resonance imaging
Magnetic Resonance Imaging, Cine
Magnetic Resonance Spectroscopy
Male
Medicine
Medicine & Public Health
Methods
Middle Aged
Myocardium - pathology
Neuroradiology
Observer Variation
Radiology
Reproducibility of Results
Stroke Volume - physiology
Ultrasound
Ventricular Dysfunction, Left - pathology
Ventricular Dysfunction, Left - physiopathology
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Summary:Objectives To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements. Methods Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evaluate left ventricular (LV) volumes and mass (LVM) using conventional and threshold-based segmentations. Phase-contrast images were used to independently measure stroke volume (SV). LV parameters were evaluated by two independent readers. Results Evaluation times using the conventional and threshold-based methods were 8.4 ± 1.9 and 4.2 ± 1.3 min, respectively ( P   0.05) but were significantly different from conventional analysis ( P  
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-015-3952-4