Parametric Imaging for the Assessment of Cardiac Motion: A Review

Benameur, Narjes; Caiani, Enrico Gianluca; Arous, Younes; Abdallah, N. Ben; Kraiem, Tarek

doi:10.1007/s13239-018-0362-1

Cited by 6 publications

(2 citation statements)

References 84 publications

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“…The elimination of LV contour geometry assumptions in three-dimensional (3D) EC may lead to more reliable LVEF assessments. [26] In our study accuracy of global longitudinal strain was higher for left ventricular ejection fraction than that M-mode echocardiography and simpson's biplane mode but the difference was insignificant.. The predictive value of left ventricular ejection fraction (LVEF) was evaluated across echocardiographic techniques and diagnostic modalities.…”

Section: Resultsmentioning

confidence: 64%

Comparison of Various Techniques for Left Ventricular Ejection Fraction

Khan¹,

Shireen²,

Shah³

et al. 2022

PJMHS

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Objective: The purpose of this study is to compare the sufficient accuracy of three different techniques of echocardiography for left ventricular ejection fraction. Study Design: Retrospective study Place and Duration: Saidu Group Of Teaching Hospital, Saidu Sharif, Swat, KPK, From September, 2021 to February, 2022. Methods: Total 90 patients of both genders with age 18-70 years were included. All the patients admitted to hospital with complaint of chest pain. After getting informed written consent detailed demographics of enrolled cases were recorded. All of these techniques (M-mode echocardiography, simpson’s biplane mode and global longitudinal strain) were used to measure the left ventricular ejection fraction of patients within a 3-month period that did not include a myocardial infarction or revascularization. SPSS 23.0 was used to analyze all data. Results: We found that 82 (91.1%) were male patients and 8 (8.9%) were females. Mean age of the patients was 53.6±12.47 years and had mean BMI 25.8±11.44 kg/m2. Hypertension was found in 50 (55.6%) cases, followed by dyslipidemia in 35 (38.9%) patients, diabetes mellitus in 23 (25.6%) cases. Cigarette smokers were 15 (16.7%). We found that accuracy of global longitudinal strain was higher for left ventricular ejection fraction than that M-mode echocardiography and simpson’s biplane mode but the difference was insignificant. Conclusion: We concluded in this study use of these three techniques for LVEF was highly useful to diagnose accuracy but global longitudinal strain was showed better accuracy than that of simpson’s biplane mode and M-mode echocardiography. Keywords: Chest Pain, LVEF, global longitudinal strain, M-mode echocardiography, Simpson’s biplane mode, Accuracy

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Section: Resultsmentioning

confidence: 64%

Comparison of Various Techniques for Left Ventricular Ejection Fraction

Khan¹,

Shireen²,

Shah³

et al. 2022

PJMHS

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“…The parametric image generates a mapping by computing a quantitative physical parameter that reflects the level of contractility. The main advantage of this technique is its ability to give more details on the degree of ventricular contraction without the need for more sophisticated methods of detecting myocardial contours [42][43][44][45][46][47][48]. Recently, different approaches for generating a parametric amplitude have been proposed [26].…”

Section: Discussionmentioning

confidence: 99%

Parametric Methods for the Regional Assessment of Cardiac Wall Motion Abnormalities: Comparison Study

Benameur¹,

Mohammed²,

Mahmoudi³

et al. 2021

Computers, Materials &Amp; Continua

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Left ventricular (LV) dysfunction is mainly assessed by global contractile indices such as ejection fraction and LV Volumes in cardiac MRI. While these indices give information about the presence or not of LV alteration, they are not able to identify the location and the size of such alteration. The aim of this study is to compare the performance of three parametric imaging techniques used in cardiac MRI for the regional quantification of cardiac dysfunction. The proposed approaches were evaluated on 20 patients with myocardial infarction and 20 subjects with normal function. Three parametric images approaches: covariance analysis, parametric images based on Hilbert transform and those based on the monogenic signal were evaluated using cine-MRI frames acquired in three planes of views. The results show that parametric images generated from the monogenic signal were superior in term of sensitivity (89.69%), specificity (86.51%) and accuracy (89.06%) to those based on covariance analysis and Hilbert transform in the detection of contractile dysfunction related to myocardial infarction. Therefore, the parametric image based on the monogenic signal is likely to provide additional regional indices about LV dysfunction and it may be used in clinical practice as a tool for the analysis of the myocardial alterations.

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Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images

Righetti,

Rubiu,

Penso

et al. 2024

Med Biol Eng Comput

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This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN performance comparison in respect to expert interpretation of CMR with late gadolinium enhancement (LGE) images, used as ground truth (GT), was conducted on 206 patients (158 scar, 48 control) from Centro Cardiologico Monzino (Milan, Italy) at both slice- and patient-levels. Left ventricle dynamic features were extracted in non-enhanced cine images using parametric images based on both Fourier and monogenic signal analyses. The CNN, fed with cine images and Fourier-based parametric images, achieved an area under the ROC curve of 0.86 (accuracy 0.79, F1 0.81, sensitivity 0.9, specificity 0.65, and negative (NPV) and positive (PPV) predictive values 0.83 and 0.77, respectively), for individual slice classification. Remarkably, it exhibited 1.0 prediction accuracy (F1 0.98, sensitivity 1.0, specificity 0.9, NPV 1.0, and PPV 0.97) in patient classification as a control or pathologic. The proposed approach represents a first step towards scar detection in contrast-free CMR images. Patient-level results suggest its preliminary potential as a screening tool to guide decisions regarding LGE-CMR prescription, particularly in cases where indication is uncertain. Graphical abstract

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Parametric Imaging for the Assessment of Cardiac Motion: A Review

Cited by 6 publications

References 84 publications

Comparison of Various Techniques for Left Ventricular Ejection Fraction

Comparison of Various Techniques for Left Ventricular Ejection Fraction

Parametric Methods for the Regional Assessment of Cardiac Wall Motion Abnormalities: Comparison Study

Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images

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