Real-Time MR Diffusion Tensor and Q-Ball Imaging Using Kalman Filtering

  • C. Poupon
  • F. Poupon
  • A. Roche
  • Y. Cointepas
  • J. Dubois
  • J. -F. Mangin
Conference paper

DOI: 10.1007/978-3-540-75757-3_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4791)
Cite this paper as:
Poupon C., Poupon F., Roche A., Cointepas Y., Dubois J., Mangin J.F. (2007) Real-Time MR Diffusion Tensor and Q-Ball Imaging Using Kalman Filtering. In: Ayache N., Ourselin S., Maeder A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4791. Springer, Berlin, Heidelberg

Abstract

Magnetic resonance diffusion imaging (dMRI) has become an established research tool for the investigation of tissue structure and orientation. In this paper, we present a method for real time processing of diffusion tensor and Q-ball imaging. The basic idea is to use Kalman filtering framework to fit either the linear tensor or Q-ball model. Because the Kalman filter is designed to be an incremental algorithm, it naturally enables updating the model estimate after the acquisition of any new diffusion-weighted volume. Processing diffusion models and maps during ongoing scans provides a new useful tool for clinicians, especially when it is not possible to predict how long a subject may remain still in the magnet.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • C. Poupon
    • 1
    • 2
  • F. Poupon
    • 1
    • 2
  • A. Roche
    • 1
    • 2
  • Y. Cointepas
    • 1
    • 2
  • J. Dubois
    • 3
  • J. -F. Mangin
    • 1
    • 2
  1. 1.CEA Neurospin - Bât. 145, 91191 Gif-sur-YvetteFrance
  2. 2.IFR49, 91191 Gif-sur-YvetteFrance
  3. 3.Faculté de médecine, Université de GenèveSwitzerland

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