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A novel method for realistic DWI data generation

Daniele Perrone, Jan Aelterman UGent, Ben Jeurissen, Aleksandra Pizurica UGent, Wilfried Philips UGent and Jan Sijbers (2014) Proceedings of the International Society for Magnetic Resonance in Medicine. p.4427-4427
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
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
Proceedings of the International Society for Magnetic Resonance in Medicine
pages
4427 - 4427
conference name
International Society for Magnetic Resonance in Medicine
conference location
Milan, Italy
conference start
2014-05-10
conference end
2014-05-16
language
English
UGent publication?
yes
classification
C3
copyright statement
I have transferred the copyright for this publication to the publisher
id
5753101
handle
http://hdl.handle.net/1854/LU-5753101
date created
2014-11-11 13:57:45
date last changed
2016-12-19 15:37:47
@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},
}

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.