Maria Aristova¹, Alireza Vali¹, Sameer A Ansari^1,2,3, Ali Shaibani^1,2, Tord D Alden^2,4, Michael C Hurley^1,2, Babak S Jahromi^1,2, Matthew B Potts^1,2, Michael Markl^1,5, and Susanne Schnell^6
1Radiology, Northwestern University, Chicago, IL, United States, ²Department of Neurosurgery, Northwestern University, Chicago, IL, United States, ³Department of Neurology, Northwestern University, Chicago, IL, United States, ⁴Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States, ⁵McCormick School of Engineering, Biomedical Engineering, Northwestern University, Chicago, IL, United States, ⁶Radiology, University of Greifswald, Chicago, IL, United States

Dual-venc 4D flow MRI with PEAK-GRAPPA acceleration provides time-resolved 3D cerebral hemodynamics and could be applied to cerebral arteriovenous malformations (AVM) with an appropriate standardized protocol. We optimize dual-venc 4D flow imaging for AVM in vitro and in vivo, and apply a Flow Distribution Network Graph paradigm for storing and analyzing complex neurovascular 4D flow data. In vitro and in vivo, 4 voxels across a typical vessel (achievable in vivo with 0.8mm isotropic resolution) will yield flow conservation < 15% and high reproducibility. Venous-arterial ratios of peak velocity and pulsatility index are proposed as potential network-based biomarkers characterizing AVM hemodynamics.

Kelly Jarvis¹, Judith T Pruijssen², Andre Y Son³, Bradley D Allen¹, Gilles Soulat¹, Alireza Vali¹, Alex J Barker⁴, Andrew W Hoel⁵, Mark K Eskandari⁵, S. Chris Malaisrie³, James C Carr¹, Jeremy D Collins⁶, and Michael Markl^1
1Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, ²Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, Netherlands, ³Division of Cardiac Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, ⁴Department of Radiology, University of Colorado, Denver, CO, United States, ⁵Division of Vascular Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, ⁶6. Department of Radiology, Mayo Clinic, Rochester, MN, United States

Systematic evaluation of complex flow in descending aortic dissection (DAD) is needed to better understand which patients are predisposed to complications. Our goal was to utilize quantitative maps from 4D flow MRI for monitoring true and false lumen (TL, FL) flow characteristics. 4D flow was acquired in 20 DAD patients (6 medically managed, 14 with surgical repair), and 21 age-matched controls. 4D flow-derived quantitative maps demonstrated global and regional hemodynamic differences between DAD patients and controls. DAD patients with and without repair showed significantly altered TL and FL aortic hemodynamics, indicating this technique’s potential to characterize flow dynamics in DAD.

Thierry Lefebvre^1,2,3, Léonie Petitclerc^1,2,4, Mélanie Hébert^1,2, Laurent Bilodeau^1,2, Giada Sebastiani⁵, Damien Olivié¹, Zu-Hua Gao⁶, Marie-Pierre Sylvestre^2,7, Guy Cloutier^1,8,9, Bich N Nguyen¹⁰, Guillaume Gilbert^1,11, and An Tang^1,2,8
1Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada, ²Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada, ³Medical Physics Unit, McGill University, Montréal, QC, Canada, ⁴C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center (LUMC), Leiden, Netherlands, ⁵Department of Medicine, Division of Gastroenterology and Hepatology, McGill University Health Centre (MUHC), Montreal, QC, Canada, ⁶Department of Pathology, McGill University, Montreal, QC, Canada, ⁷Department of Social and Preventive Medicine, École de santé publique de l’Université de Montréal (ESPUM), Montreal, QC, Canada, ⁸Institute of Biomedical Engineering, Université de Montréal, Montreal, QC, Canada, ⁹Laboratory of Biorheology and Medical Ultrasonics (LBUM), Centre de recherche du Centre hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada, ¹⁰Service of Pathology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada, ¹¹MR Clinical Science, Philips Healthcare Canada, Montreal, QC, Canada

MR elastography techniques for staging liver fibrosis assess the right liver and require additional hardware. MRI cine-tagging evaluates the strain of liver tissue and shows promise for staging liver fibrosis without additional hardware. It can be performed routinely during MRI examinations. Strain showed high correlation with fibrosis stages (ρ = -0.68, P < 0.0001). AUC was 0.81 to distinguish fibrosis stages F0 vs. ≥F1, 0.84 for ≤F1 vs. ≥F2, 0.86 for ≤F2 vs. ≥F3, and 0.87 for ≤F3 vs. F4. It could be used to assess the left liver lobe as a complement to MR elastography assessing the right lobe.

Cheng-Chieh Cheng^1,2, Frank Preiswerk¹, and Bruno Madore^1
1Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, ²Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Ideally, neuro exams would include a variety of contrast types along with basic MRI parametric maps, with full-brain 3D coverage and good spatial resolution. However, tradeoffs exist between the number of contrasts, spatial coverage, spatial resolution, and scan time. We developed a 3D multi-pathway multi-echo (MPME) sequence that rapidly captures vast amounts of information about the object, and a ‘contrast translator’ to convert this information into desired contrasts. More specifically, a neural network converts 3D full-brain MPME data acquired in about 7 min into MPRAGE, FLAIR, T1W, T2W, T1 and T2 volumes, with the goal of abbreviating neuro exams.

Victor Han¹ and Chunlei Liu^1,2
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, ²Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States

We present a fully geometric view of multiphoton excitation by taking a particular rotating frame transformation. In this rotating frame, we find that multiphoton excitations appear just like single-photon excitations again, and thus, we can readily generalize concepts already explored in standard single-photon excitation. With a homebuilt low-frequency (~ kHz) coil, we execute a standard slice-selective pulse sequence with all of its excitations replaced by their equivalent two-photon versions. With a multiphoton interpretation of oscillating gradients, we present a novel way to transform a standard slice-selective adiabatic pulse into a multiband one without modifying the RF pulse shape itself. 

Adam Marthinus Johannes van Niekerk¹, Andre van der Kouwe^1,2,3, and Ernesta Meintjes^1,4,5
1Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa, ²Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States, ³Radiology, Harvard Medical School, Boston, MA, United States, ⁴Cape Universities Body Imaging Centre, Cape Town, South Africa, ⁵Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

Introducing additional hardware to measure patient motion allows for fast and accurate prospective motion correction that has minimal or no impact on the imaging pulse sequence. This does however entail additional setup that in some cases may be challenging to translate into a dynamic clinical setting. In this work we explore the use of an intelligent marker - a Wireless Radiofrequency-triggered Acquisition Device (WRAD) - for prospective motion correction. This new approach incorporates all additional hardware (besides a wireless receiver) into the marker that is attached to the subject. Initial results show improved image quality without scanner specific calibration.