Abstract #3502

Improving Dynamic Paralleling Imaging Reconstruction using Multi-Dimensional Integration (MDI)

Jingyuan Lyu¹, Yongquan Ye¹, Sen Jia², Zheng Shi³, Zhongqi Zhang⁴, Lele Zhao⁴, Jian Xu¹, and Rui Yang³

¹UIH America, Inc., Houston, TX, United States, ²Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, ³Henan Chest Hospital, Zhengzhou, China, ⁴United Imaging Healthcare, Shanghai, China

We have developed and demonstrated a novel strategy for accurate estimation of coil sensitivity profiles for time-resolved data. Instead of direct temporal average to reduce noise in ACS, the proposed multi-dimensional integrated (MDI) strategy solves the least square problem for coil sensitivity profiles estimation in a new fashion. By extracting the overall calibration equations in all temporal dimensions, MDI is able to calculate coil sensitivity profiles more accurately than without this strategy. It can also be integrated with other parallel imaging methods such as SENSE and ESPIRiT.

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