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

Abstract：

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.

journal_name

Eur Radiol

journal_title

European radiology

authors

Varga-Szemes A,Muscogiuri G,Schoepf UJ,Wichmann JL,Suranyi P,De Cecco CN,Cannaò PM,Renker M,Mangold S,Fox MA,Ruzsics B

doi

10.1007/s00330-015-3952-4

subject

Has Abstract

pub_date

2016-05-01 00:00:00

pages

1503-11

issue

eissn

0938-7994

issn

1432-1084

pii

10.1007/s00330-015-3952-4

journal_volume

pub_type

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