Fast Regularized Parallel Imaging in an MR Image-Guided Therapy Application

W. S. Hoge, Renxin Chu, Ferenc Jolesz, Eigil Samset
Proc of 41st Asilomar Conf on Signals, Systems, and Computers
Pages 1869-1873
Nov, 2007

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Abstract

We present an overview of parallel MR imaging and its use in an image-guided therapy application. Different parallel imaging methods have different strengths, which we combine to increase MR image acquisition efficiency. As imaging efficiency increases, the image reconstruction problem often becomes poorly conditioned. The conditioning of reconstruction problems can be improved through the use of solution-space regularization. We review our fast iterative regularized reconstruction method, our implementation of this method on a multi-node computer, and demonstrate its use in high efficiency MR imaging for a cardiac therapy application.

Image sequence of an oblique roll through a phantom, acquired on a 3T GE Excite MR scanner using the real-time IGT setup at approx 6.1 frames / sec (164 msec / frame, image size: 128x128).

Reference

Hoge WS, Chu R, Jolesz F, Samset E. Fast regularized parallel imaging in an MR image-guided therapy application. In Proc of 41st Asilomar Conf on Signals, Systems, and Computers. 2007;1869-1873.

Bibtex entry

@InProceedings{hoge:asilomar07,
  author         = {Hoge, W. Scott and Chu, Renxin and Jolesz, Ferenc and      
                   Samset, Eigil},                                             
  title          = {Fast Regularized Parallel Imaging in an {MR} Image-Guided  
                   Therapy Application},                                       
  booktitle      = {Proc of 41st Asilomar Conf on Signals, Systems, and        
                   Computers},                                                 
  pages          = {1869-1873},                                                
  year           = 2007,                                                       
  month          = {Nov}
}

Grants

NIH U41-RR019703

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