Magnetic Resonance Imaging (MRI) uses radio-frequency waves and a strong magnetic field rather than x-rays to provide remarkably clear and detailed 2-D and 3-D pictures of internal organs and tissues.

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Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic technology that produces physiologic images based on the use of magnetic and radio frequency (RF) fields. The MRI system uses powerful magnets to create a magnetic field which forces hydrogen atoms in the body into a particular alignment (resonance). Radio frequency energy is then distributed over the patient, which is disrupted by body tissue. The disruptions correspond to varying return signals which, when processed, create the image.

The accurate processing of these signals is key to obtaining high quality images. A key system consideration for the receive channel is high SNR. The return signals have narrow bandwidths with an IF location directly dependent on the main magnet s strength. Some systems use high-speed pipeline ADCs with wideband amplifiers to directly sample the IF, leaving large headroom for post-processing gain by a digital down converter or FPGA. Other systems mix the IF to baseband where lower-speed, higher-resolution SAR and delta-sigma ADCs can be used.

For controlling the magnetic and RF energy in the MRI, high-resolution, high-speed DACs are needed. High resolution is required to accurately define the area of the patient to be scanned. High-speed is necessary to match the high IFs being generated by the main magnet. DSPs can be used to provide gradient processor control used for properly controlling the magnets in the MRI system. A DSP can also take care of preprocessing the signal before it reaches the image reconstruction engine.

A wide variety of TI products are available for MRI systems and equipment manufacturers, including op amps, DSPs, multi-channel high- and low-speed data converters, clocking distribution, interface, and power management.

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Application Notes (6)

Title Abstract Type Size (KB) Date Views
HTM 8 KB 29 Aug 2012 2160
HTM 9 KB 08 Jun 2010 201
HTM 8 KB 08 Jun 2010 108
HTM 9 KB 21 Sep 2009 2145
HTM 8 KB 19 Aug 2008 2489
HTM 9 KB 26 Jul 2007 1819

Selection and Solution Guides

Selection Guides (5)

Title Abstract Type Size (KB) Date Views
PDF 9.09 MB 02 May 2013 3499
PDF 3.34 MB 02 May 2013 2516
PDF 3 MB 10 Apr 2013 2516
PDF 1.35 MB 07 Nov 2012 1639
PDF 2.38 MB 08 Jun 2010 963

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Product Bulletin (2)

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PDF 228 KB 09 Jun 2011 531
PDF 208 KB 25 Apr 2011 978

White Papers (9)

Title Abstract Type Size (MB) Date Views
PDF 1014 KB 17 May 2011 794
PDF 562 KB 21 Dec 2010 588
PDF 423 KB 09 Nov 2010 1473
PDF 333 KB 08 Jun 2010 355
PDF 180 KB 26 Oct 2009 295
PDF 358 KB 18 Mar 2009 17
PDF 115 KB 03 Nov 2008 1003
PDF 187 KB 31 Oct 2008 481
PDF 470 KB 20 Mar 2007 17

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