Zhe Wang1, 2, Meral L. Reyhan1, 3, Abbas N. Moghaddam1, 4, J. Paul Finn5, Daniel B. Ennis, 25
1Department of Radiological Sciences, University of California, Los Angeles, CA, United States; 2Department of Bioengineering, University of California, Los Angeles, CA, United States; 3Biomedical Physics Interdepartmental Program, University of California , Los Angeles, CA, United States; 4Department of Biomedical Engineering, Amirkabir University of Technology(Tehran Polytechnic), Tehran, Iran; 5Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
Radial tagging matches the annular shape of the left ventricle (LV) in short axis images and has an advantage for measuring LV twist. Current LV twist measurement methods require manual contouring of the LV epicardial and endocardial boundaries, which increases the processing time. We demonstrate a method which utilizes the unique tagging contrast in complementary radial tagging (CRT) for fully automated LV contouring for the quantification of LV twist. Comparison of the LV twist measurements derived from manually and automated segmentation techniques shows excellent agreement (R=0.99) and no significant differences. Fully automated LV twist measurement can be achieved with CRT.