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Abstract
Diffusion Weighted Imaging (DWI) was introduced to explore the human connectome in vivo; although many fiber tractography (FT) algorithms exist, proving the effectiveness of their estimates is challenging. We present a biologically and physically realistic software phantom, with brain-like fibres configuration and images, fully tuneable in terms of ‘simulated acquisition’ parameters: a realistic bench test for quantitative analyses of every DWI-related algorithm

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Chicago
Perrone, Daniele, Jan Aelterman, Ben Jeurissen, Aleksandra Pizurica, Wilfried Philips, and Jan Sijbers. 2014. “A Novel Method for Realistic DWI Data Generation.” In Proceedings of the International Society for Magnetic Resonance in Medicine, 4427–4427.
APA
Perrone, D., Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., & Sijbers, J. (2014). A novel method for realistic DWI data generation. Proceedings of the International Society for Magnetic Resonance in Medicine (pp. 4427–4427). Presented at the International Society for Magnetic Resonance in Medicine.
Vancouver
1.
Perrone D, Aelterman J, Jeurissen B, Pizurica A, Philips W, Sijbers J. A novel method for realistic DWI data generation. Proceedings of the International Society for Magnetic Resonance in Medicine. 2014. p. 4427–4427.
MLA
Perrone, Daniele, Jan Aelterman, Ben Jeurissen, et al. “A Novel Method for Realistic DWI Data Generation.” Proceedings of the International Society for Magnetic Resonance in Medicine. 2014. 4427–4427. Print.
@inproceedings{5753101,
  abstract     = {Diffusion Weighted Imaging (DWI) was introduced to explore the human connectome in vivo; although many fiber tractography (FT) algorithms exist, proving the effectiveness of their estimates is challenging. We present a biologically and physically realistic software phantom, with brain-like fibres configuration and images, fully tuneable in terms of {\textquoteleft}simulated acquisition{\textquoteright} parameters: a realistic bench test for quantitative analyses of every DWI-related algorithm},
  author       = {Perrone, Daniele and Aelterman, Jan and Jeurissen, Ben and Pizurica, Aleksandra and Philips, Wilfried and Sijbers, Jan},
  booktitle    = {Proceedings of the International Society for Magnetic Resonance in Medicine},
  language     = {eng},
  location     = {Milan, Italy},
  pages        = {4427--4427},
  title        = {A novel method for realistic DWI data generation},
  year         = {2014},
}