A realization of digital wireless transmission for MRI signals based on 802.11b

Wei, Juan; Liu, Zhengguang; Chai, Zhi; Yuan, Jing; Lian, Jianyu; Shen, Gary X.

doi:10.1016/j.jmr.2007.03.003

Cited by 26 publications

(31 citation statements)

References 4 publications

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“…The amount of memory (in bytes) occupied by the compressed dataset used to reconstruct each image was calculated in the same manner as Wei et al (8), Memory ¼ ð#bits=sampleÞ3ð#samples=interleafÞ 3ð#interleavesÞ3ð#coilsÞ32=ð8 bits=byteÞ; [8] where the factor two takes both the real and imaginary components into account.…”

Section: Image Reconstructionmentioning

confidence: 99%

“…Large coil arrays of up to 128 channels have been demonstrated (5)(6)(7) and can lead to situations whereby MR data storage limits are reached along with the increased computational burden and image reconstruction time posed by a large number of channels (see, e.g., Refs. 7,8). Some reduction in data is achievable by appropriate combinations of individual channels (9,10).…”

Section: Introductionmentioning

confidence: 99%

“…Some reduction in data is achievable by appropriate combinations of individual channels (9,10). Nevertheless, as the number of channels increases, electromagnetic coupling between coils and the coaxial cables that carry MR signals becomes increasingly challenging to manage (8,11), with consequent safety issues and cross-talk among channels.…”

Section: Introductionmentioning

confidence: 99%

“…Various approaches have been considered to replace coaxial cables with wireless links (8,12) or optical fibers (13,14). Both transmission methods can support analog or digital information.…”

Section: Introductionmentioning

confidence: 99%

“…17. For the truly wireless solution (8) numerous digital transmission standards exist but all have data rates that can be exceeded (e.g., 54 Mbps based on IEEE 802.11a) if a large number of channels is used, especially if fast dynamic scanning is required which limits the possibility of buffering the data. Hence, if wireless high-density arrays are to become practical, the data to be transmitted to the reconstruction unit should be compressed.…”

Section: Introductionmentioning

confidence: 99%

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Efficient multichannel coil data compression: A prospective study for distributed detection in wireless high‐density arrays

Jutras

Fallone

Zanche

2011

Concepts Magn Reson

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Wireless links have been proposed to connect magnetic resonance (MR) array receiver coils to the rest of the system to eliminate the safety and cross-talk issues encountered using coaxial cables. Analog transmission methods are unsuited because of limited dynamic range and noise figure; therefore, fully independent individual digital receiver modules must be developed. Limited data rates supported by wireless links restrict the number of coil channels that can be transmitted to well below those of the state-of-the-art high-density arrays that would benefit the most from wireless technology. Two independent methods of compressing MR data prior to transmission are presented that when combined can readily reduce it to one-third or less of the original amount with negligible impact on image quality parameters such as artifact power (AP) and signalto-noise ratio (SNR). These conservative results were obtained from arrays of six to 16 channels which is typical of today's clinical systems and show that compression efficiency improves with increasing channel density. Simulated and experimental 2D spiral data acquired from a standard head array at 3 tesla was used to evaluate AP as a function of compression by off-line processing. Spectral compression reduces the acquired data by up to 45% using dynamic demodulation, filtering and decimation. Dynamic range compression followed by bit-depth reduction further reduces the data by up to 37.5% without visible image artifacts. Image SNR improves 1-25% at the periphery of the fieldof-view (FOV) due to spectral compression, while dynamic range compression results in a uniform SNR gain of 4-8% over the whole FOV.

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Section: Image Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient multichannel coil data compression: A prospective study for distributed detection in wireless high‐density arrays

Jutras

Fallone

Zanche

2011

Concepts Magn Reson

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MRI Technology: Circuits and Challenges for Receiver Coil Hardware

Zanche

2009

Medical Imaging

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An RF‐gated wireless power transfer system for wireless MRI receive arrays

Byron

Robb²,

Stang³

et al. 2017

Concepts Magn Reson

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In MRI systems, cable-free receive arrays would simplify setup while reducing the bulk and weight of coil arrays and improve patient comfort and throughput. Since battery power would limit scan time, wireless power transfer (WPT) is a viable option to continuously supply several watts of power to on-coil electronics. To minimize added noise and decouple the wireless power system from MRI coils, restrictions are placed on the coil geometry of the wireless power system, which are shown to limit its efficiency. Continuous power harvesting can also cause a large increase in the background noise of the image due to diode rectifier up-conversion of noise around the frequency of the transmitted power. However, by RF gating the transmitted power off during the MRI receive time while continuing to supply power from a storage capacitor, WPT is demonstrated to have minimal impact on image quality at received power levels up to 11 W. The integration of WPT with a 1.5T scanner is demonstrated.

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A realization of digital wireless transmission for MRI signals based on 802.11b

Cited by 26 publications

References 4 publications

Efficient multichannel coil data compression: A prospective study for distributed detection in wireless high‐density arrays

Efficient multichannel coil data compression: A prospective study for distributed detection in wireless high‐density arrays

MRI Technology: Circuits and Challenges for Receiver Coil Hardware

An RF‐gated wireless power transfer system for wireless MRI receive arrays

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