Yen-Wei Cheng1, Ming-Chung Chou2, Wen-Yih Isaac Tseng3, Hsiao-Wen Chung4
1 Department of Electrical Engineering, National Ilan University, IIran, Taiwan; 2Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan; 3Center for Optoelectronic Biomedicine, National Taiwan University, Taipei, Taiwan; 4Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
The purpose of this study was to simulate the randomly corrupted signals and evaluate the resultant ODF errors as well as error reduction rates by using a neighboring interpolation correcting method. The simulation was performed by generating corrupted signals in the gold standard QBI with random loss of signal intensity as well as random occurrence of pixel location. We found that the reduction rates of ODF errors by neighboring interpolation method were 82.62%, 79.32%, 77.67% for b = 2000, 3000, 4000 s/mm2 QBI datasets, so it suggests the proposed NI method is helpful to correct signal loss artifacts in QBI.