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 evalu...
| Publicado en: | European Radiology Vol. 26; no. 5; pp. 1503 - 1512 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114245960&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114245960 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2016 vid: 26 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 114245960 114245960 NLM26267520 114245960 10.1007/s00330-015-3952-4 NLM26267520 114245960 ppf: 1503 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method. aug: au: Varga-Szemes, Akos Muscogiuri, Giuseppe Schoepf, U. Wichmann, Julian Suranyi, Pal Cecco, Carlo Cannaò, Paola Renker, Matthias Mangold, Stefanie Fox, Mary Ruzsics, Balazs Schoepf, U Joseph Wichmann, Julian L De Cecco, Carlo N Cannaò, Paola M Fox, Mary A affil: Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive Charleston 29425-2260 USA sug: subj: Ventricular Dysfunction, Left Physiopathology Pilot Studies Male Ventricular Dysfunction, Left Pathology Magnetic Resonance Spectroscopy Female Heart Ventricle Pathology Stroke Volume Physiology Reproducibility of Results Magnetic Resonance Imaging Myocardium Pathology Middle Age Observer Bias Human Algorithms Magnetic Resonance Angiography Methods Validation Studies Comparative Studies Evaluation Research Multicenter Studies Middle Aged: 45-64 years Male Female ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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