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  4. Prospective head motion compensation for MRI by updating the gradients and radio frequency during data acquisition
 
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2005
Conference Paper
Title

Prospective head motion compensation for MRI by updating the gradients and radio frequency during data acquisition

Abstract
Subject motion appears to be a limiting factor in numerous magnetic resonance imaging (MRI) applications. For head imaging the subject's ability to maintain the same head position for a considerable period of time places restrictions on the total acquisition time. For healthy individuals this time typically does not exceed 10 minutes and may be considerably reduced in case of pathology. In particular, head tremor, which often accompanies stroke, may render certain high-resolution 2D and 3D techniques inapplicable. Several navigator techniques have been proposed to circumvent the subject motion problem. The most suitable for head imaging appears to be the orbital or spherical navigator methods. Navigators, however, not only lengthen the measurement because of the time required for acquisition of the position information, but also require additional excitation radio frequency (RF) pulses to be incorporated into the sequence timing, which disturbs the steady state. Here we demonstrate the possibility of interfacing the MR scanner with an external optical motion tracking system, capable of determining the object's position with sub-millimeter accuracy and an update rate of 60Hz. The movement information on the object position (head) is used to compensate the motion in real time. This is done by updating the field of view (FOV) by recalculating the gradients and the RF-parameter of the MRI tomograph during the acquisition of k-space data based on the tracking data. Results of rotation phantom, in vivo experiments and the implementation in two different MRI sequences are presented.
Author(s)
Dold, C.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Zaitsev, M.
University Hospital of Freiburg
Speck, O.
University Hospital of Freiburg
Firle, E.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Hennig, J.
University Hospital of Freiburg
Sakas, G.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Medical image computing and computer-assisted intervention, MICCAI 2005. Vol.1  
Conference
International Conference on Medical Imaging and Computer-Assisted Intervention (MICCAI) 2005  
DOI
10.1007/11566465_60
Additional full text version
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Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • tracking

  • brain imaging

  • prospective image enhancement

  • image quality

  • infrared based technology

  • magnetic resonance imaging

  • MRI

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