Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the last two years 1 ,  have been experimenting with applying compressed sensing parallel imaging for body imaging of pediatric patients. It is a joint-effort by teams from UC Berkeley, Stanford University and GE Healthcare.  aims to summarize our experience so far.  describe our acquisition approach: 3D spoiled-gradient-echo with poisson-disc random undersampling of the phase encodes. Our reconstruction approach: l 1 -SPIRiT, an iterative autocalibrating parallel imaging reconstruction that enforces both data consistency and joint-sparsity in the wavelet domain. Our implementation: an on-line parallelized implementation of l 1 -SPIRiT on multi-core CPU and General Purpose Graphics Processors (GPGPU) that achieves sub-minute 3D reconstructions with 8-channels. Clinical results showing higher quality reconstruction and better diagnostic confidence than parallel imaging alone at accelerations on the order of number of coils.
['Shreyas S. Vasanawala', 'Mark Murphy', 'Marcus T. Alley', 'Peng Lai', 'Kurt Keutzer', 'John M. Pauly', 'Michael Lustig']
I am writing a research paper on a idea Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients
[{"from": "human", "value": "I am writing a research paper on a idea Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the last two years 1 ,  have been experimenting with applying compressed sensing parallel imaging for body imaging of pediatric patients. It is a joint-effort by teams from UC Berkeley, Stanford University and GE Healthcare.  aims to summarize our experience so far.  describe our acquisition approach: 3D spoiled-gradient-echo with poisson-disc random undersampling of the phase encodes. Our reconstruction approach: l 1 -SPIRiT, an iterative autocalibrating parallel imaging reconstruction that enforces both data consistency and joint-sparsity in the wavelet domain. Our implementation: an on-line parallelized implementation of l 1 -SPIRiT on multi-core CPU and General Purpose Graphics Processors (GPGPU) that achieves sub-minute 3D reconstructions with 8-channels. Clinical results showing higher quality reconstruction and better diagnostic confidence than parallel imaging alone at accelerations on the order of number of coils."}]