Friday, January 23, 2015

Random Calibration for Accelerating MR-ARFI Guided Ultrasonic Focusing in Transcranial Therapy


 





Random Calibration for Accelerating MR-ARFI Guided Ultrasonic Focusing in Transcranial Therapy Na Liu , Antoine LiutkusJean-François Aubry , Laurent Marsac ,Mickael Tanter , Laurent Daudet

Abstract : Transcranial focused ultrasound is a promising therapeutic modality. It consists in placing transducers around the skull and emitting shaped ultrasound waves that propagate through the skull and then concentrate on one particular location within the brain. However, the skull bone is known to distort the ultrasound beam. In order to compensate for such distortions, a number of techniques have been proposed recently, for instance using Magnetic Resonance Imaging (MRI) feedback. In order to fully determine the focusing distortion due to the skull, such methods usually require as many calibration signals as transducers, resulting in a lengthy calibration process. In this paper, we investigate how the number of calibration sequences can be signicantly reduced, based on random measurements and optimization techniques. Experimental data with six human skulls demonstrate that the number of measurements can be up to three times lower than with the standard methods, while restoring 90% of the focusing eciency.
 
 
 
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Printfriendly