Comparison Between Manual and Semiautomated Analysis of Left Ventricular Volume Parameters from Short-Axis MR Images

Rj, van der Geest; Vg, Buller; Jansen, E.J.; Hj, Lamb; Lh, Baur; Ee, van der Wall; A, de Roos; Jh, Reiber

doi:10.1097/00004728-199709000-00019

Cited by 207 publications

(127 citation statements)

References 22 publications

Supporting

Mentioning

124

Contrasting

Order By: Relevance

“…Currently, there are no programs that can adequately perform automated right ventricular contour detection, and therefore we used manual detection of endocardial and epicardial borders in end-systole and end-diastole. The following parameters were calculated: biventricular EDV, ESV, stroke volume (SV), EF, and mass (11).…”

Section: Cmr Analysismentioning

confidence: 99%

Normal biventricular function, volumes, and mass in children aged 8 to 17 years

Robbers‐Visser

Boersma

Helbing

2009

Magnetic Resonance Imaging

106

112

View full text Add to dashboard Cite

Purpose: To assess normal values for biventricular function, volumes, and mass with current cardiovascular magnetic resonance (CMR) imaging sequences in children. Materials and Methods:Included in the study were 60 healthy children aged 8 -17 years. A short axis set of contiguous slices was acquired with CMR imaging employing steady-state free precession. Biventricular end-diastolic volume (EDV), end-systolic volume (ESV), ejection fraction (EF), and mass were determined. Uni-and multivariate linear regression analyses were performed to study the interrelation of age, gender, and body surface area (BSA) on biventricular volumes and mass. The coefficient of variation was calculated for intra-and interobserver variability.Results: EF did not differ between boys and girls (mean LV-EF 69 Ϯ (SD) 5%, mean RV-EF 65 Ϯ 5%). BSA had good (EDV, mass) and modest (ESV) correlation with biventricular measurements. Gender appeared a significant modifier of these relations, whereas age had no independent contribution. The intra-and interobserver coefficient of variation was in the range 2.1%-13.9% for biventricular EDV, ESV, and mass. Conclusion:This study reveals gender-specific normative data for biventricular function, volumes, and mass in children age 8 -17 years that can be used as reference data in the follow-up of pediatric cardiac patients.

show abstract

Section: Cmr Analysismentioning

confidence: 99%

Normal biventricular function, volumes, and mass in children aged 8 to 17 years

Robbers‐Visser

Boersma

Helbing

2009

Magnetic Resonance Imaging

106

112

View full text Add to dashboard Cite

show abstract

“…The * symbol indicates non-available statistical data because the number of samples for that particular case is too small. Segments are labeled as defined by American Heart Association standardization for myocardial segments (19). Comparison of RWMA probability value distributions between rest-only data (a) and the combined rest-stress data (b), both from scar and non-scar (normal) segment groups for each slice model.…”

Section: Discussionmentioning

confidence: 99%

“…The mid-ventricular level was defined at the middle level between the basal and the apical slices. Their corresponding slice levels in DSMR and CE-MRI were automatically calculated based on three-dimensional (3D) geometrical information obtained by using the MR Analytical Software System (MASS, v5.0, Medis, Leiden, the Netherlands) (19). Due to the smaller slice thickness of CE-MRI compared with cine-MRI, one or two CE-MR images can be associated to a slice level in cine-MRI.…”

Section: Slice Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Automated regional wall motion abnormality detection by combining rest and stress cardiac MRI: Correlation with contrast‐enhanced MRI

Suinesiaputra

Frangi

Kaandorp

et al. 2011

Magnetic Resonance Imaging

Self Cite

View full text Add to dashboard Cite

Purpose: To correlate an automated regional wall motion abnormality (RWMA) detection method based on combined rest and dobutamine-stress cardiac MRI with the assessment of myocardial infarction from contrastenhanced MRI (CE-MRI), and to demonstrate that adding stress data improves the detection of scar segments compared with rest data alone. Materials and Methods:An automated RWMA detection method was built based on a statistical model of normokinetic myocardium from 41 healthy volunteers. The method was adapted to detect changes in RWMA from rest to stress. Twelve patients with myocardial infarction were included in the experiment. The correlation with CE-MRI was performed on two measurements: infarct transmurality and scar detection. Results:Compared with infarct transmurality, the probability of normokinetic motion decreased progressively as infarct transmurality increased. These probability values were 0.59 for non-scar segments, for <25% transmurality was 0.4 (SE ¼ 0.04), for 25-50% was 0.33 (SE ¼ 0.03), for 50-75% was 0.21 (SE ¼ 0.03) and for !75% was 0.10 (SE ¼ 0.03). For scar tissue detection, adding stress data significantly improved the performance (P < 0.001, confidence interval ¼ 99.9%). The sensitivity, specificity, and accuracy increased by 34%, 30%, and 32%, respectively. The area under the receiver operating characteristics curve was 0.63 when rest-only data was used, but it was improved to 0.87 when stress data was added. Conclusion:The presented automated RWMA assessment was capable of detecting wall motion improvements from rest to stress. The method correlated well with infarct transmurality from CE-MRI. Detection of scar regions was more accurate when rest and stress data were combined compared with rest data alone.

show abstract

“…Contours were automatically detected in the original coordinate system using the commercially available MASS package (Version 4.2, Medis, Leiden, the Netherlands),as described by Van der Geest et al [7] (Figure 2, bottom row). The epi-and endocardial volumes were calculated at each phase and for each selected slice of each image set, as per section 3.1.…”

Section: Technique 4: Segmentation Using Commercial Softwarementioning

confidence: 99%

Myocardial Delineation via Registration in a Polar Coordinate System

Noble

Hill

Breeuwer³

et al. 2002

Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002

View full text Add to dashboard Cite

Abstract. This paper describes a technique for automatic analysis of dynamic magnetic resonance images of the left ventricle using a non-rigid registration algorithm. Short axis cine images were re-sampled into polar coordinates before all the time frames were aligned using a non-rigid registration algorithm. An manually delineated contour of a single phase was propagated through the dynamic sequence. Two variants of this approach were investigated and compared with manual delineation of all phases, and with the commercially available automatic MASS package. The results showed good correlation with manual delineation and produced fewer erroneous results than the commercial package.

show abstract

Comparison Between Manual and Semiautomated Analysis of Left Ventricular Volume Parameters from Short-Axis MR Images

Abstract: Global left ventricular function parameters can be obtained with a high degree of accuracy and precision using the present semiautomated contour detection algorithm.

Cited by 207 publications

References 22 publications

Normal biventricular function, volumes, and mass in children aged 8 to 17 years

Normal biventricular function, volumes, and mass in children aged 8 to 17 years

Automated regional wall motion abnormality detection by combining rest and stress cardiac MRI: Correlation with contrast‐enhanced MRI

Myocardial Delineation via Registration in a Polar Coordinate System

Contact Info

Product

Resources

About