Electronic Posters: Cardiovascular
Wednesday 13:30-15:30 Computer 32
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| Wednesday 13:30-15:30 Computer 32
13:30 3624. Myocardial Perfusion Imaging with Variable Density Spiral Trajectories Michael Salerno1, Christopher M. Kramer2, Craig H. Meyer3 1Department of Medicine, Cardiology, University of Virginia, Charlottesville, VA, United States; 2Department of Radiology, University of Virginia, Charlottesville, VA; 3Biomedical Engineering, University of Virginia, Charlottesville, VA Variable density (VD) spiral trajectories are an efficient method for data acquisition and may be advantageous for first pass myocardial perfusion imaging. By only partially correcting the variable density, k-space is weighted by a smooth function which reduces Gibbs Ringing. This strategy is employed to further reduce dark-rim artifacts for spiral myocardial perfusion imaging. 14:00 3625. Rapid Quantification of Arterial Input Function and Myocardial T1 Changes in Mice During Contrast Agent Injection Wen Li1,2, Wei Li1,2, Chris Flask2,3, Mark Griswold2,3, Xin Yu1,2 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, United States; 3Department of Radiology, Case Western Reserve University, Cleveland, OH, United States A modified ECG-triggered saturation recovery Look-Locker (MSRLL) method was developed for quantification of arterial input function via rapid T1 mapping in dynamic contrast enhanced MRI (DCE-MRI) studies. High temporal resolution (< 2 min) was achieved by acquiring only the low spatial frequency lines. High spatial frequency lines acquired before contrast were used to generate composite images with higher spatial resolution. Validation was performed by comparing T1 values measured with SRLL and MSRLL method in both phantom and in vivo mouse heart. The in vivo application of MSRLL in DCE-MRI studies was demonstrated in mouse heart. These results suggest that MSRLL may provide a robust method for rapid T1 mapping of blood and myocardium in cardiac DCE-MRI studies. 14:30 3626. The Contribution of Cardiac Motion to Dark Rim Artifacts in Myocardial Perfusion Scans Li Zhao1, Michael Salerno2, Christopher M. Kramer, 23, Craig H. Meyer1,3 1Biomedical Enginnering, University of Virginia, Charlottesville, VA, United States; 2Medicine, University of Virginia, Charlottesville, VA, United States; 3Radiology, University of Virginia, Charlottesville, VA, United States The Dark Rim artifacts in adenosine stress perfusion imaging are not completely understood, with Gibb’s ringing and cardiac motion thought to be contributing factors. In this work we provide strong support to the idea that dark rim artifacts come from motion by experimental data, and it also shows that these artifacts are more significant in some portions of the cardiac cycle than in others. Moreover, a 1D motion model is developed and used to predict how dark rim artifacts vary over the cardiac cycle. 15:00 3627. A Comprehensive MR Examination of the Heart in Less Than 25 Minutes Using a Semi-Automated Image Acquisition Prototype Michaela Schmidt1, Giso von der Recke2, Peter Speier3, Saurabh Shah4, Carmel Hayes3, David Hardung2, Heyder Omran5, Edgar Mueller6 1MR Application Development, Healthcare Sector, Siemens AG , Erlangen, Germany; 2St.-Marien-Hospital , Bonn, Germany; 3MR Application Development, Healthcare Sector, Siemens AG, Erlangen, Germany; 4MR R&D, Healthcare Sector, Siemens AG, Chicago, IL, United States; 5St.-Marien-Hospital, Bonn, Germany; 6MR Application Development, Healthcare Sector, Siemens AG, erlangen, Germany In this study we evaluated a prototype designed for simplicity and speed in CMR examinations. Sixty five patients with suspected ischemic heart disease were imaged with the prototype. The prototype offers, among others, user guidance and patient-centric parameters, simplified, marker-based localization of the heart and automatic FOV calculation. Two users were experienced in and one user was inexperienced in CMR imaging. Without reducing the accuracy and quality of the result, examination times below 25 minutes could be achieved for the experienced users, the beginner managed to successfully complete cardiac examinations with excellent image quality in around 30 minutes. Yüklə 492,08 Kb. Dostları ilə paylaş:
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