Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia.

Anca-Larisa Sandu-Giuraniuc; Inge-Andre Rasmussen Jr.; Arvid  Lundervold; Frank Kreuder; Gesche Neckelmann; Kenneth Hugdahl; Karsten Specht

doi:10.1016/j.compmedimag.2007.10.005

Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia.

Anca-Larisa Sandu-Giuraniuc (Corresponding Author), Inge-Andre Rasmussen Jr., Arvid Lundervold, Frank Kreuder, Gesche Neckelmann, Kenneth Hugdahl, Karsten Specht

Research output: Contribution to journal › Article › peer-review

55 Citations (Scopus)

Abstract

The fractal dimension (FD) was used to reveal brain structure irregularities in patients with schizophrenia. FD provides a unique way of quantifying the shape complexity of cortical folding of the human brain. MR images were obtained from seven patients with schizophrenia that were compared with six healthy control subjects. The MR images were first segmented, and the FD was calculated for the grey/white matter boundary for the whole brain and the hemispheres separately, using the box-counting and Minkowski-Bouligand methods. The results showed that the patients had larger FD values than the controls, for the whole brain volume and right hemisphere.

Original language	English
Pages (from-to)	150-158
Number of pages	9
Journal	Computerized Medical Imaging and Graphics
Volume	32
Issue number	2
Early online date	18 Dec 2007
DOIs	https://doi.org/10.1016/j.compmedimag.2007.10.005
Publication status	Published - 31 Mar 2008

Keywords

Fractal dimension
Brain imaging
Schizophrenia

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia. / Sandu-Giuraniuc, Anca-Larisa (Corresponding Author); Rasmussen Jr., Inge-Andre; Lundervold, Arvid ; Kreuder, Frank; Neckelmann, Gesche; Hugdahl, Kenneth; Specht, Karsten.

In: Computerized Medical Imaging and Graphics, Vol. 32, No. 2, 31.03.2008, p. 150-158.

Research output: Contribution to journal › Article › peer-review

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title = "Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia.",

abstract = "The fractal dimension (FD) was used to reveal brain structure irregularities in patients with schizophrenia. FD provides a unique way of quantifying the shape complexity of cortical folding of the human brain. MR images were obtained from seven patients with schizophrenia that were compared with six healthy control subjects. The MR images were first segmented, and the FD was calculated for the grey/white matter boundary for the whole brain and the hemispheres separately, using the box-counting and Minkowski-Bouligand methods. The results showed that the patients had larger FD values than the controls, for the whole brain volume and right hemisphere.",

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note = "The present research was financially supported by a grant to Kenneth Hugdahl from the Alfried Krupp von Bohlen und Halbach Stiftung, Germany. The software and the data sets can be made available to other researchers after inquiry to the principal investigator, Kenneth Hugdahl.",

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AU - Sandu-Giuraniuc, Anca-Larisa

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AU - Kreuder, Frank

AU - Neckelmann, Gesche

AU - Hugdahl, Kenneth

AU - Specht, Karsten

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AB - The fractal dimension (FD) was used to reveal brain structure irregularities in patients with schizophrenia. FD provides a unique way of quantifying the shape complexity of cortical folding of the human brain. MR images were obtained from seven patients with schizophrenia that were compared with six healthy control subjects. The MR images were first segmented, and the FD was calculated for the grey/white matter boundary for the whole brain and the hemispheres separately, using the box-counting and Minkowski-Bouligand methods. The results showed that the patients had larger FD values than the controls, for the whole brain volume and right hemisphere.

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Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia.

Abstract

Keywords

UN SDGs

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