Samuel Ting1, Yu Ding2, Yiu-Cho
1Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States; 2Dorothy M. Davis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, United States; 3Siemens Medical Systems, Columbus, OH, United States
Real-time cardiac cine images acquired in settings where minimal acquisition time or patient conditions eliminate the possibility of breathhold or triggering techniques contain high levels of noise. We apply the Karhunev-Loeve Transform to real-time cine images for peak velocity measurement to reduce noise and compare our results to those obtained using spatial four- and eight- neighbor averaging. Filtering via the Karhunen-Loeve Transform successfully reduces signal noise while leading to a smaller affect on the peak velocity measurement compared to that of spatial averaging.