Abstract #4407

Adaptive Self-Calibrating in K-Space Parallel Magnetic Resonance Imaging using Kalman Filter

Suhyung Park¹, Jin-Suck Suh^1,2, Jaeseok Park²

¹Medical Science, Yonsei University, Seoul, Korea, Republic of; ²Radiology, Yonsei University, Seoul, Korea, Republic of

It is challenging to estimate accurate convolution kernel in k-space based parallel imaging. This work suggest adaptive self-calibrating method designing static calibration region into dynamic calibration region using the Kalman filter