Evaluation of 3D multi-contrast joint intra- and extracranial vessel wall cardiovascular magnetic resonance

BackgroundMulti-contrast vessel wall cardiovascular magnetic resonance (CMR) has demonstrated its capability for atherosclerotic plaque morphology measurement and component characterization in different vasculatures. However, limited coverage and partial volume effect with conventional two-dimensional (2D) techniques might cause lesion underestimation. The aim of this work is to evaluate the performance in a) blood suppression and b) vessel wall delineation of three-dimensional (3D) multi-contrast joint intra- and extracranial vessel wall imaging at 3T.MethodsThree multi-contrast 3D black blood (BB) sequences with T1, T2 and heavy T1 weighting and a custom designed 36-channel neurovascular coil covering the entire intra- and extracranial vasculature have been used and investigated in this study. Two healthy subjects were recruited for sequence parameter optimization and twenty-five patients were consecutively scanned for image quality and blood suppression assessment. Qualitative image scores of vessel wall delineation as well as quantitative Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) were evaluated at five typical locations ranging from common carotid arteries to middle cerebral arteries.ResultsThe 3D multi-contrast images acquired within 15mins allowed the vessel wall visualization with 0.8 mm isotropic spatial resolution covering intra- and extracranial segments. Quantitative wall and lumen SNR measurements for each sequence showed effective blood suppression at all selected locations (P < 0.0001). Although the wall-lumen CNR varied across measured locations, each sequence provided good or adequate image quality in both intra- and extracranial segments.ConclusionsThe proposed 3D multi-contrast vessel wall technique provides isotropic resolution and time efficient solution for joint intra- and extracranial vessel wall CMR.

[1]  Jianrong Xu,et al.  Simultaneous noncontrast angiography and intraPlaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation , 2012, Magnetic resonance in medicine.

[2]  J. Arenillas,et al.  Intracranial atherosclerosis: current concepts. , 2011, Stroke.

[3]  C. Yuan,et al.  Carotid intraplaque hemorrhage imaging at 3.0-T MR imaging: comparison of the diagnostic performance of three T1-weighted sequences. , 2010, Radiology.

[4]  Yiu-Cho Chung,et al.  T1‐weighted–SPACE dark blood whole body magnetic resonance angiography (DB‐WBMRA): Initial experience , 2010, Journal of magnetic resonance imaging : JMRI.

[5]  Ye Qiao,et al.  Intracranial plaque enhancement in patients with cerebrovascular events on high-spatial-resolution MR images. , 2014, Radiology.

[6]  T. Ebbers,et al.  Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS , 2014, Journal of Cardiovascular Magnetic Resonance.

[7]  Matthias Weigel,et al.  Extended phase graphs: Dephasing, RF pulses, and echoes ‐ pure and simple , 2015, Journal of magnetic resonance imaging : JMRI.

[8]  V. Mok,et al.  Lesion Patterns and Stroke Mechanisms in Concurrent Atherosclerosis of Intracranial and Extracranial Vessels , 2009, Stroke.

[9]  Chun Yuan,et al.  A New Designed 36-Channel Neurovascular Coil at 3 T , 2011 .

[10]  Bin Chen,et al.  Turbo fast three‐dimensional carotid artery black‐blood MRI by combining three‐dimensional MERGE sequence with compressed sensing , 2013, Magnetic resonance in medicine.

[11]  C. Yuan,et al.  High-field atherosclerotic plaque magnetic resonance imaging. , 2012, Neuroimaging clinics of North America.

[12]  A. Bornstedt,et al.  Dual stack black blood carotid artery CMR at 3T: Application to wall thickness visualization , 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[13]  Chun Yuan,et al.  Enhanced image quality in black‐blood MRI using the improved motion‐sensitized driven‐equilibrium (iMSDE) sequence , 2010, Journal of magnetic resonance imaging : JMRI.

[14]  Debiao Li,et al.  Carotid arterial wall MRI at 3T using 3D variable‐flip‐angle turbo spin‐echo (TSE) with flow‐sensitive dephasing (FSD) , 2010, Journal of magnetic resonance imaging : JMRI.

[15]  J T Keller,et al.  Segments of the internal carotid artery: a new classification. , 1996, Neurosurgery.

[16]  Johannes T Heverhagen,et al.  Noise measurement and estimation in MR imaging experiments. , 2007, Radiology.

[17]  Chun Yuan,et al.  MRI of carotid atherosclerosis: clinical implications and future directions , 2010, Nature Reviews Cardiology.

[18]  Geon-Ho Jahng,et al.  High-Resolution MRI of Intracranial Atherosclerotic Disease , 2014, Neurointervention.

[19]  J. Bodle,et al.  High-Resolution Magnetic Resonance Imaging: An Emerging Tool for Evaluating Intracranial Arterial Disease , 2013, Stroke.

[20]  Krishna S. Nayak,et al.  Accelerated 3D MERGE carotid imaging using compressed sensing with a hidden markov tree model , 2012, Journal of magnetic resonance imaging : JMRI.

[21]  Michael Schär,et al.  Intracranial arterial wall imaging using three‐dimensional high isotropic resolution black blood MRI at 3.0 Tesla , 2011, Journal of magnetic resonance imaging : JMRI.

[22]  W. Kerwin,et al.  The vulnerable, or high-risk, atherosclerotic plaque: noninvasive MR imaging for characterization and assessment. , 2007, Radiology.

[23]  Feng Huang,et al.  PROMISE: Parallel‐imaging and compressed‐sensing reconstruction of multicontrast imaging using SharablE information , 2015, Magnetic resonance in medicine.

[24]  P. Börnert,et al.  Improved carotid intraplaque hemorrhage imaging using a slab‐selective phase‐sensitive inversion‐recovery (SPI) sequence , 2010, Magnetic resonance in medicine.

[25]  Pippa Storey,et al.  Tailoring the flow sensitivity of fast spin‐echo sequences for noncontrast peripheral MR angiography , 2010, Magnetic resonance in medicine.

[26]  C Yuan,et al.  Carotid atherosclerotic plaque: noninvasive MR characterization and identification of vulnerable lesions. , 2001, Radiology.

[27]  R. Busse,et al.  Fast spin echo sequences with very long echo trains: Design of variable refocusing flip angle schedules and generation of clinical T2 contrast , 2006, Magnetic resonance in medicine.

[28]  Osman Ratib,et al.  OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images , 2004, Journal of Digital Imaging.

[29]  W. Kerwin,et al.  MRI of carotid atherosclerosis. , 2013, AJR. American journal of roentgenology.

[30]  C. Yuan,et al.  Discriminating Carotid Atherosclerotic Lesion Severity by Luminal Stenosis and Plaque Burden: A Comparison Utilizing High-Resolution Magnetic Resonance Imaging at 3.0 Tesla , 2011, Stroke.

[31]  R. Nandhagopal,et al.  Cerebral angiography , 1951, Neurology.

[32]  Chun Yuan,et al.  Minimization of MR Contrast Weightings for the Comprehensive Evaluation of Carotid Atherosclerotic Disease , 2010, Investigative radiology.

[33]  Chun Yuan,et al.  Carotid plaque assessment using fast 3D isotropic resolution black‐blood MRI , 2011, Magnetic resonance in medicine.

[34]  E. McVeigh,et al.  Phase‐sensitive inversion recovery for detecting myocardial infarction using gadolinium‐delayed hyperenhancement † , 2002, Magnetic resonance in medicine.

[35]  S. Schoenberg,et al.  Measurement of signal‐to‐noise ratios in MR images: Influence of multichannel coils, parallel imaging, and reconstruction filters , 2007, Journal of magnetic resonance imaging : JMRI.

[36]  Amedeo Chiribiri,et al.  Risk stratification of post-MI patients for ICD implantation using texture analysis to quantify heterogeneity of scar , 2015, Journal of Cardiovascular Magnetic Resonance.

[37]  K. Scheffler,et al.  Calculation of flip angles for echo trains with predefined amplitudes with the extended phase graph (EPG)‐algorithm: Principles and applications to hyperecho and TRAPS sequences , 2004, Magnetic resonance in medicine.

[38]  L. Caplan,et al.  Intracranial atherosclerosis , 2014, The Lancet.