The influence of cardiac triggering time and an optimization strategy for improved cardiac MR spectroscopy

Carlsson, Åsa; Sohlin, Maja; Lagerstrand, Kerstin; Aronsson, Eva Forsell; Ljungberg, Maria

doi:10.1016/j.zemedi.2017.04.006

Cited by 2 publications

(1 citation statement)

References 28 publications

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“…The tracer distribution and the cardiac characteristic alternate at a certain point in the direction of imaging. However, this problem faces generalized challenges because, unless the number of statistics decreases for character gate intervals due to triggering (Kording 2018;Carlsson et al 2017;Bunck et al 2009), the projection facts obtained are accessible to a single angular role of the rotary digital acquisition for a specific time instance, and therefore there are ways to be adequate to immediately reconstruct the dynamic pixel at a given time factor at a certain point in the direction of the imagery. Therefore, using tracers during the acquisition process is considered more suitable for medical purposes, as the dynamics of the tracer could lead to well-sized inconsistencies in the projection facts between exceptional angular positions.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction

Sakly

Saïd²,

Tagina

2020

Netw Model Anal Health Inform Bioinforma

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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.

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Section: Introductionmentioning

confidence: 99%

Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction

Sakly

Saïd²,

Tagina

2020

Netw Model Anal Health Inform Bioinforma

View full text Add to dashboard Cite

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Investigating the effect of trigger delay on cardiac 31P MRS signals

Wampl

Körner

Valkovič

et al. 2021

Sci Rep

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The heart’s geometry and its metabolic activity vary over the cardiac cycle. The effect of these fluctuations on phosphorus (31P) magnetic resonance spectroscopy (MRS) data quality and metabolite ratios was investigated. 12 healthy volunteers were measured using a 7 T MR scanner and a cardiac 31P-1H loop coil. 31P chemical shift imaging data were acquired untriggered and at four different times during the cardiac cycle using acoustic triggering. Signals of adenosine-triphosphate (ATP), phosphocreatine (PCr), inorganic phosphate (Pi) and 2,3-diphosphoglycerate (2,3-DPG) and their fit quality as Cramér-Rao lower bounds (CRLB) were quantified including corrections for contamination by 31P signals from blood, flip angle, saturation and total acquisition time. The myocardial filling factor was estimated from cine short axis views. The corrected signals of PCr and $$\gamma$$ γ -ATP were higher during end-systole and lower during diastasis than in untriggered acquisitions ($$P<0.05$$ P < 0.05 ). Signal intensities of untriggered scans were between those with triggering to end-systole and diastasis. Fit quality of PCr and $$\gamma$$ γ -ATP peaks was best during end-systole when blood contamination of ATP and Pi signals was lowest. While metabolite ratios and pH remained stable over the cardiac cycle, signal amplitudes correlated strongly with myocardial voxel filling. Triggering of cardiac 31P MRS acquisitions improves signal amplitudes and fit quality if the trigger delay is set to end-systole. We conclude that triggering to end-systole is superior to triggering to diastasis.

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The influence of cardiac triggering time and an optimization strategy for improved cardiac MR spectroscopy

Cited by 2 publications

References 28 publications

Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction

Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction

Investigating the effect of trigger delay on cardiac 31P MRS signals

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