Electronic Posters: Cardiovascular

Myocardial Function: Experimental & Human Studies III

Hall B Monday 14:00-16:00 Computer 31

14:00 3600. Quantification of 3D Cardiac Motion in Mice Using Multi-Phase DENSE MRI

Yong Chen^1,2, Jia Zhong^1,2, Xin Yu<sup>1,2

1</sup>Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ²Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, United States

In the current study, we developed a multi-phase DENSE imaging method for quantification of 3D myocardial motion in mice. Only five acquisitions were required to quantify both in-plane and longitudinal displacements on one slice. The results showed strong agreement with 2D DENSE methods.

14:30 3601. Analysis of Cardio-Respiratory Motion of the Heart Using GRICS (First Insights)

Pierre-André Vuissoz^1,2, Freddy Odille³, Brice Fernandez, ^1,4, Maelene Lohezic, ^1,4, Adnane Benhadid^1,2, Damien Mandry^2,5, Jacques Felblinger<sup>1,6

1</sup>Imagerie Adaptative Diagnostique et Interventionnelle, Nancy-Université, Nancy, France; ²U947, INSERM, Nancy, France; ³Centre for Medical Image Computing, University College London, London, United Kingdom; ⁴Global Applied Science Lab., GE healthcare, Nancy, France; ⁵Departments of Radiology, University Hospital Nancy, Nancy, France; ⁶CIC801, INSERM, Nancy, France

Clinical assessment of MRI data (e.g. myocardium function) is usually performed with breath-hold acquisitions. However, cardiac functional parameters are affected by breath-hold. The generalized reconstruction technique GRICS allows free-breathing acquisition protocols, and corrects for motion artifacts by inherently establishing a motion model. Here we show how this model can be used to decouple cardiac and respiratory motion, based on the available ECG and respiratory sensors. In 5 healthy volunteers, we analyzed the respective cardiac and respiratory contribution, in terms of motion vectors, in various regions of interest from the heart, enabling new insights in thoracic motion analysis.

15:00 3602. Highly-Accelerated Real-Time Cine MRI Using Compressed Sensing and Parallel Imaging

Li Feng¹, Ricardo Otazo², Monvadi B. Srichai^2,3, Ruth P. Lim², Ding Xia², Daniel K. Sodickson², Daniel Kim<sup>2

1</sup>Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States; ²Radiology, New York University School of Medicine, New York, NY, United States; ³Medicine, New York University School of Medicine, New York, NY, United States

Real-time cine MRI is a necessary cardiac MRI pulse sequence for patients with reduced breath-hold capacity and/or arrhythmia. Currently, dynamic parallel imaging methods, such as TSENSE and TGRAPPA, can be used to achieve an acceleration rate (R) of 2-3, which typically yields relatively low spatial and temporal resolution. We propose to use a joint acceleration technique that combines compressed sensing (CS) and parallel imaging (PI) to exploit joint sparsity for randomly undersampled multicoil data. This study describes highly-accelerated (R>4) real-time cine MRI using the joint CS-PI technology and shows encouraging results using this technology.

15:30 3603. Quantitative Comparison of Left Ventricular Cardiac Volume, Mass and Function Obtained at 7 Tesla with “gold Standard” Values at 1.5 Tesla.

Anne Brants¹, Maarten Versluis¹, Albert de Roos¹, Jos Westenberg¹, Andrew Webb<sup>1

1</sup>Radiology, Leiden University Medical Center, Leiden, Netherlands

Recent advances in coil technology have enabled cardiac imaging to be performed at 7T, with high spatial resolution cine-imaging showing particular promise. However, there has been no quantitative assessment of clinically-relevant derived measures of cardiac mass, volume or function. In this current study, ten healthy volunteers underwent cardiac scans at both 1.5T, the gold standard for such measures, and 7T. Values of end-systolic and end-diastolic volumes, ejection fraction, stroke volume an left ventricular end diastolic mass showed no statistical difference between 1.5 and 7T, providing strong validation for the continuing development of high-field cardiac imaging.