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Toward Real-time MRI: Advanced in Parallel Imaging and Compressed Sensing

发布日期:2013-03-01 16:17:04      浏览次数:

Toward Real-time MRI: Advanced in Parallel Imaging and Compressed Sensing

Time10:00 am, March. 8 (Friday)

Location: 104#, CBIR

Speaker: Kevin King (Senior Scientist in the Global Applied Science Lab at GE Healthcare in Milwaukee, WI)

 

Bio

Kevin King is a Senior Scientist in the Global Applied Science Lab at GE Healthcare in Milwaukee, WI.  He has worked extensively in medical imaging for 30 years developing new product features and applications.  In CT, he has worked on development of calibration and correction methods for CT detectors and data acquisition systems, and new reconstruction algorithms including helical reconstruction.  In MR, he has worked on scanner calibration methods including measurement and correction methods for eddy currents, as well as non-Cartesian data acquisition and reconstruction methods including spiral scans, and most recently parallel imaging and compressed sensing.

Abstract

Non-Cartesian acquisition is advantageous for a number of different applications in MR, thereby necessitating a fast reconstruction method with high image quality.  Although many different interpolation methods have been developed over a long period for this purpose, one method has come to be used consistently in MRI.  This method uses an interpolation kernel that is compactly supported in k-space and typically chosen to be a Kaiser-Bessel function.  Two main challenges are compensating the unequal density of non-Cartesian k-space points and choosing the optimal reconstruction kernel parameters.  This talk will summarize some of the more common solutions to these challenges and their impact on images.  Simulated examples will be presented using 2D and 3D projection acquisition.