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Abstract #2213

Optimization of the Radial Tagging Profile and Validation Using the Cardiac Atlas Project Database

Zhe Wang1, 2, Abbas N. Moghaddam1, 3, Meral L. Reyhan1, 4, Subashini Srinivasan1, 5, Yutaka Natsuaki6, J.Paul Finn1, 4, Daniel B. Ennis1, 5

1Department of Radiological Sciences, University of California, Los Angeles, CA, United States; 2Biomedical Engineering Interdepartmental Program, University of California , Los Angeles, CA, United States; 3Department of Biomedical Engineering, Amirkabir University of Technology(Tehran Polytechnic), Tehran, Iran; 4Biomedical Physics Interdepartmental Program, University of California, Los Angeles, CA, United States; 5Biomedical Engineering Interdepartmental Program, University of California, Los Angeles, CA, United States; 6Siemens Medical Solutions, Malvern, PA, United States

Due to the gross annular geometry of the left ventricle, a radial tagging sequence may be advantageous for measuring LV contraction and myocardial twist. Radial tagging, in general, requires shifting the patient table away from the iso-center of the main magnetic field to generate a tagging profile that is both sharp and centered at the middle of the LV cavity. In this study we show that >91% of patients can be acceptably imaged with the radial tagging sequence by retrospectively analyzing the short-axis slice position and orientation information from 75 patients in the Cardiac Atlas Project database.

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Keywords

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