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Publication Date: 2015-Nov-09
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The Prior Art Database



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Title: Reconstructing Images on MRI coils as a data reduction technique


     RF coils are used to obtain data required to generate high resolution images of the human body in the system reconstructor, located outside of the examination room. Modern MRI systems employ many channels acquired in parallel. In a state of the art 32 channel coil, digital data content comprises very large raw data rates, typ. > 1 GBPS. It is advantageous to transmit this data via wireless transport. Data is acquired in an RF coil, located in the bore, and must be transmitted, error free, over the data link with variable channel capacity, to a base station that connects to a reconstructing computer outside the examination room. Errors in the data are unacceptable. Through data compression techniques, the payload is reduced, thereby minimizing the potential for errors.

     All wireless data channels are subject to impairments which limit the data throughput and compromise data integrity. Therefore robust channels need a method to improve data integrity while maintaining image quality and time critical communications. Data encoding is a typical method used to improve data integrity through the channel. But encoding increases the data payload and transmission time. Thus data compression techniques are employed to reduce the data payload. In the examination room, state of the art medical imaging systems only employ autonomous techniques with limited success. In medical imaging, the maximum data compression cannot be achieved through autonomous data compression methods. Maximum data compression occurs when non-autonomous techniques are applied during image construction. These compression techniques require the conditions in which the images were generated, along with the received data, in the image construction process. In order to minimize the data payload, non-autonomous data compression techniques are needed to implement image construction locally in the coil. For a 32 channel coil, non-autonomous data compression techniq...