Abstract #2563
Common-Information enhanced SPIRiT for high resolution VDS DWI reconstruction
Xiaodong Ma 1 , Feng Huang 2 , Xinwei Shi 1 , Wenchuan Wu 1 , Binbin Sui 3 , and Hua Guo 1
1
Center for Biomedical Imaging Research,
Department of Biomedical Engineering, School of
Medicine, Tsinghua University, Beijing, Beijing, China,
2
Philips
Research China, Beijing, China,
3
Department
of Neuroradiology, Beijing Neurosurgical Institute,
Beijing Tiantan Hospital, Capital Medical University,
Beijing, China
Multi-shot DWI requires long scan time especially in
diffusion tensor imaging (DTI). Parallel imaging
reconstruction (CG-SENSE) suffers from low SNR when
relatively large reduction factor is used. Existence of
isotropic diffusion provides common information among
different directions, which is utilized in this study
through an interleaved acquisition scheme to enhance
image reconstruction. Illustrated as an example, Common
inhanced SPIRiT (CI-SPIRiT) reconstruction method in VDS
DTI is proposed. Preliminary results show that it
improves data sampling efficiency and obtains images of
higher SNR.
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