Multi-contrast imaging information of coronary artery wall based on magnetic resonance angiography.

In order to explore the most suitable image acquisition method for coronary artery wall, the display ability and image quality of segmentation breath-holding target volume acquisition method (the breath-holding method) and real-time navigation whole-hearted acquisition method (the navigation method) of coronary artery magnetic resonance angiography (CMRA) were compared. 26 healthy volunteers were selected to accept the CMRA in 1.5 tunnels magneto-resistance (TMR) equipment by the 2 acquisition methods respectively. The arteries were divided into 9 segments according to the standards of the American Heart Association (AHA). The images were evaluated by 2 magnetic resonance physicians. Satisfaction rate and success rate of each segment of the coronary artery were counted. The results showed that the signal to noise ratio (SNR) and the carrier to noise ratio (CNR) of the images obtained by the breath-holding method were higher than those obtained by the navigation method (P<0.05). Therefore, the segmentation breath-holding target volume acquisition method is proved to have a higher image quality and the simpler and more convenient operations, which is more suitable for the acquisition of positioning images of CMRA.

[1]  Wenzhen Zhu,et al.  Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour , 2018, European Radiology.

[2]  J. Bae,et al.  Impact of different antihypertensives on carotid arterial wall thickness , 2018, Journal of clinical hypertension.

[3]  Jingjing Li,et al.  T1–T2 molecular magnetic resonance imaging of renal carcinoma cells based on nano-contrast agents , 2018, International journal of nanomedicine.

[4]  Alberto Avolio,et al.  Progressive changes of elastic moduli of arterial wall and atherosclerotic plaque components during plaque development in human coronary arteries , 2018, Medical & Biological Engineering & Computing.

[5]  C. Gagnon,et al.  Comparative study of the effects of gadolinium chloride and gadolinium - based magnetic resonance imaging contrast agent on freshwater mussel, Dreissena polymorpha. , 2017, Chemosphere.

[6]  M. Kuster,et al.  Magnetic resonance imaging of the tensor vastus intermedius: A topographic study based on anatomical dissections , 2017, Clinical anatomy.

[7]  Jérôme Idier,et al.  Multi-tissue partial volume quantification in multi-contrast MRI using an optimised spectral unmixing approach. , 2018, Magnetic resonance imaging.

[8]  Clint L. Miller,et al.  GWAS Reveal Targets in Vessel Wall Pathways to Treat Coronary Artery Disease , 2018, Front. Cardiovasc. Med..

[9]  M. Mazzei,et al.  Magnetic resonance imaging of the sacroiliac joints in SpA: with or without intravenous contrast media? A preliminary report , 2019, La radiologia medica.

[10]  C. Kırma,et al.  Echocardiographic assessment of right ventricle free wall strain for prediction of right coronary artery proximal lesion in patients with inferior myocardial infarction , 2018, The International Journal of Cardiovascular Imaging.

[11]  C. Yuan,et al.  Accelerated multi-contrast high isotropic resolution 3D intracranial vessel wall MRI using a tailored k-space undersampling and partially parallel reconstruction strategy , 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.

[12]  H. G. van der Poel,et al.  Seminal vesicle invasion on multi-parametric magnetic resonance imaging: Correlation with histopathology. , 2018, European Journal of Radiology.

[13]  Thomas E. Yankeelov,et al.  A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations , 2017, Scientific Reports.