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Multiple Q-shell ODF reconstruction in Q-ball imaging.

Publication ,  Journal Article
Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Ugurbil, K; Harel, N
Published in: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
January 2009

Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function (ODF, the probability of diffusion in a given direction) from q-ball uses linear radial projection, neglecting the change in the volume element along the ray, thereby resulting in distributions different from the true ODFs. A new technique has been recently proposed that, by considering the solid angle factor, uses the mathematically correct definition of the ODF and results in a dimensionless and normalized ODF expression from a single q-shell. In this paper, we extend this technique in order to exploit HARDI data from multiple q-shells. We consider the more flexible multi-exponential model for the diffusion signal, and show how to efficiently compute the ODFs in constant solid angle. We describe our method and demonstrate its improved performance on both artificial and real HARDI data.

Duke Scholars

Published In

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

Publication Date

January 2009

Volume

12

Issue

Pt 2

Start / End Page

423 / 431

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Brain
  • Artificial Intelligence & Image Processing
 

Citation

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Aganj, I., Lenglet, C., Sapiro, G., Yacoub, E., Ugurbil, K., & Harel, N. (2009). Multiple Q-shell ODF reconstruction in Q-ball imaging. Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 2), 423–431. https://doi.org/10.1007/978-3-642-04271-3_52
Aganj, Iman, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Kamil Ugurbil, and Noam Harel. “Multiple Q-shell ODF reconstruction in Q-ball imaging.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 12, no. Pt 2 (January 2009): 423–31. https://doi.org/10.1007/978-3-642-04271-3_52.
Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Multiple Q-shell ODF reconstruction in Q-ball imaging. Medical image computing and computer-assisted intervention : MICCAI . International Conference on Medical Image Computing and Computer-Assisted Intervention. 2009 Jan;12(Pt 2):423–31.
Aganj, Iman, et al. “Multiple Q-shell ODF reconstruction in Q-ball imaging.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 12, no. Pt 2, Jan. 2009, pp. 423–31. Epmc, doi:10.1007/978-3-642-04271-3_52.
Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Multiple Q-shell ODF reconstruction in Q-ball imaging. Medical image computing and computer-assisted intervention : MICCAI . International Conference on Medical Image Computing and Computer-Assisted Intervention. 2009 Jan;12(Pt 2):423–431.

Published In

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

Publication Date

January 2009

Volume

12

Issue

Pt 2

Start / End Page

423 / 431

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Brain
  • Artificial Intelligence & Image Processing