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 Vol. 26; no. 5; pp. 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: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2016
Springer Nature B.V
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
Germany
Aortic flow
Cine magnetic resonance imaging
Left ventricular mass
Left ventricular function
Semi-automated segmentation
ISSN:0938-7994, 1432-1084, 1432-1084
Online Access:Get full text
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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  < 0.0001). LV parameters measured by the conventional and threshold-based methods, respectively, were end-diastolic volume (EDV) 146 ± 59 and 134 ± 53 ml; end-systolic volume (ESV) 64 ± 47 and 59 ± 46 ml; SV 82 ± 29 and 74 ± 28 ml (flow-based 74 ± 30 ml); ejection fraction (EF) 59 ± 16 and 58 ± 17 %; and LVM 141 ± 55 and 159 ± 58 g. Significant differences between the conventional and threshold-based methods were observed in EDV, ESV, and LVM mesurements; SV from threshold-based and flow-based measurements were in agreement ( P  > 0.05) but were significantly different from conventional analysis ( P  < 0.05). Excellent inter-observer agreement was observed. Conclusions Threshold-based LV segmentation provides improved accuracy and faster assessment compared to conventional contour-based methods. Key Points • Threshold-based left ventricular segmentation provides time-efficient assessment of left ventricular parameters • The threshold-based method can discriminate between blood and papillary muscles • This method provides improved accuracy compared to aortic flow measurements as a reference
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ISSN:0938-7994
1432-1084
1432-1084
DOI:10.1007/s00330-015-3952-4