Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment o
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(2020) 9:61
REVIEW ARTICLE
Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction Houneida Sakly1 · Mourad Said2 · Moncef Tagina1 Received: 8 February 2020 / Revised: 16 August 2020 / Accepted: 20 August 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020
Abstract In this paper, a medical decision approach for cardiac MRI by the registration algorithm and the reconstruction of 5D stacks for cine MRI sequences was developed. The estimation of the ejection fraction of the left ventricle (LVFE) was developed as an example. This study included 18 patients who underwent 1.5 T cardiac MRI for different etiologies: a total of 395 series and 18,483 scans was tested. The estimated values with the classical method of segmentation by contour with extreme (LVFE) in the sample was compared. A registration algorithm was implemented, with mean elapsed time registration = 0.5 s. The range of (LVFE) varied between [20 and 87%] shows that the results are satisfactory for the experts by comparing with the clinical assessment for the study of the anomalies of myocardial contractility and kinetic abnormalities and the error rate was significantly reduced. At baseline, the correlation between the clinical assessment of the LVFE with the 5D approach was consistent with 0.92, and with a 1.39% error rate mean for the sample studied, a mean = 60.34, the probability = 0.46 and the standard deviation was estimated to be 20.33 and about 21.78 for the LVFE with the 5D approach. Therefore, the 5D stacks approach applied to cine-cardiac MRI sequences for medical decision-making was implemented in the left ventricle with cardiac MRI. This approach shows its effectiveness in improving the accuracy of computation of LVFE. This approach seems to be very interesting, but needs to be validated in a larger sample study. Keywords Image registration · Image segmentation · 5D cardiac imaging · Myocardium contractility · The left ventricular ejection fraction
1 Introduction Recent advances in cardiology imaging have made myocardial imaging a vital potential for assessing blood flow. The medical decision requires an assessment of the left ventricular characteristic through quantitative measurements of * Houneida Sakly [email protected] Mourad Said [email protected] Moncef Tagina moncef.tagina@ensi‑uma.tn 1
COSMOS Laboratory, National school of Computer Sciences (ENSI), University of Mannouba, Manouba, Tunisia
Radiology and Medical Imaging Unit, International Center Carthage Medical, Tourist Area “JINEN EL OUEST”, 5000 Monastir, Tunisia
2
international and regional wall movement. Traditionally, the distribution of the tracer is assumed to be regular over the entire study, and a stationary sequence is reconstructed for each frame. The logical and clinically essential extension of gated imaging is the hassle of reconstructing research in cardiac imaging. The tracer distribution and the cardiac characteristic alternate
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