A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data

E.J.L. Brunenberg; R. Duits; B.M. ter Haar Romeny; B. Platel

A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data

E.J.L. Brunenberg, R. Duits, B.M. ter Haar Romeny, B. Platel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Dissimilarity measures for DTI clustering are abundant. However, for HARDI, the L2 norm has up to now been one of only few practically feasible measures. In this paper we propose a new measure, that not only compares the amplitude of diffusion profiles, but also rewards coincidence of the extrema. We tested this on phantom and real brain data. In both cases, our measure significantly outperformed the L2 norm.

Original language	English
Title of host publication	Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010
Editors	T. Kielmann, M.J. van Kreveld, W.J. Niessen
Publisher	Advanced School for Computing and Imaging (ASCI)
Number of pages	7
ISBN (Print)	978-90-79982-08-0
Publication status	Published - 2010
Event	16th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2010), June 1-3, 2010, Veldhoven, The Netherlands - Veldhoven, Netherlands Duration: 1 Jun 2010 → 3 Jun 2010

Conference

Conference	16th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2010), June 1-3, 2010, Veldhoven, The Netherlands
Abbreviated title	ASCI 2010
Country/Territory	Netherlands
City	Veldhoven
Period	1/06/10 → 3/06/10

Cite this

Brunenberg, E. J. L., Duits, R., ter Haar Romeny, B. M., & Platel, B. (2010). A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data. In T. Kielmann, M. J. van Kreveld, & W. J. Niessen (Eds.), Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010 Advanced School for Computing and Imaging (ASCI).

Brunenberg, E.J.L. ; Duits, R. ; ter Haar Romeny, B.M. et al. / A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data. Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010 . editor / T. Kielmann ; M.J. van Kreveld ; W.J. Niessen. Advanced School for Computing and Imaging (ASCI), 2010.

@inproceedings{9896f1dc17a74ef5a84709f5eb62fe22,

title = "A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data",

abstract = "Dissimilarity measures for DTI clustering are abundant. However, for HARDI, the L2 norm has up to now been one of only few practically feasible measures. In this paper we propose a new measure, that not only compares the amplitude of diffusion profiles, but also rewards coincidence of the extrema. We tested this on phantom and real brain data. In both cases, our measure significantly outperformed the L2 norm.",

author = "E.J.L. Brunenberg and R. Duits and {ter Haar Romeny}, B.M. and B. Platel",

year = "2010",

language = "English",

isbn = "978-90-79982-08-0",

editor = "T. Kielmann and {van Kreveld}, M.J. and W.J. Niessen",

booktitle = "Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010",

publisher = "Advanced School for Computing and Imaging (ASCI)",

note = "16th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2010), June 1-3, 2010, Veldhoven, The Netherlands, ASCI 2010 ; Conference date: 01-06-2010 Through 03-06-2010",

}

Brunenberg, EJL, Duits, R , ter Haar Romeny, BM & Platel, B 2010, A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data. in T Kielmann, MJ van Kreveld & WJ Niessen (eds), Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010 . Advanced School for Computing and Imaging (ASCI), 16th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2010), June 1-3, 2010, Veldhoven, The Netherlands, Veldhoven, Netherlands, 1/06/10.

A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data. / Brunenberg, E.J.L.; Duits, R.; ter Haar Romeny, B.M. et al.

Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010 . ed. / T. Kielmann; M.J. van Kreveld; W.J. Niessen. Advanced School for Computing and Imaging (ASCI), 2010.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data

AU - Brunenberg, E.J.L.

AU - Duits, R.

AU - ter Haar Romeny, B.M.

AU - Platel, B.

PY - 2010

Y1 - 2010

N2 - Dissimilarity measures for DTI clustering are abundant. However, for HARDI, the L2 norm has up to now been one of only few practically feasible measures. In this paper we propose a new measure, that not only compares the amplitude of diffusion profiles, but also rewards coincidence of the extrema. We tested this on phantom and real brain data. In both cases, our measure significantly outperformed the L2 norm.

AB - Dissimilarity measures for DTI clustering are abundant. However, for HARDI, the L2 norm has up to now been one of only few practically feasible measures. In this paper we propose a new measure, that not only compares the amplitude of diffusion profiles, but also rewards coincidence of the extrema. We tested this on phantom and real brain data. In both cases, our measure significantly outperformed the L2 norm.

M3 - Conference contribution

SN - 978-90-79982-08-0

BT - Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010

A2 - Kielmann, T.

A2 - van Kreveld, M.J.

A2 - Niessen, W.J.

PB - Advanced School for Computing and Imaging (ASCI)

T2 - 16th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2010), June 1-3, 2010, Veldhoven, The Netherlands

Y2 - 1 June 2010 through 3 June 2010

ER -

Brunenberg EJL, Duits R , ter Haar Romeny BM, Platel B. A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data. In Kielmann T, van Kreveld MJ, Niessen WJ, editors, Proceedings of the Sixteenth Annula Conference of the Advanced School for Computings and Imaging, Veldhoven, The Netherlands, November 1-3, 2010 . Advanced School for Computing and Imaging (ASCI). 2010

A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data

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