Validation of tractography: comparison with manganese tracing

Research output: Contribution to journalJournal articleResearchpeer-review

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Validation of tractography : comparison with manganese tracing. / Knösche, Thomas R.; Anwander, Alfred; Liptrot, Matthew George; Dyrby, Tim B.

In: Human Brain Mapping, Vol. 36, No. 10, 2015, p. 4116-4134.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Knösche, TR, Anwander, A, Liptrot, MG & Dyrby, TB 2015, 'Validation of tractography: comparison with manganese tracing', Human Brain Mapping, vol. 36, no. 10, pp. 4116-4134. https://doi.org/10.1002/hbm.22902

APA

Knösche, T. R., Anwander, A., Liptrot, M. G., & Dyrby, T. B. (2015). Validation of tractography: comparison with manganese tracing. Human Brain Mapping, 36(10), 4116-4134. https://doi.org/10.1002/hbm.22902

Vancouver

Knösche TR, Anwander A, Liptrot MG, Dyrby TB. Validation of tractography: comparison with manganese tracing. Human Brain Mapping. 2015;36(10):4116-4134. https://doi.org/10.1002/hbm.22902

Author

Knösche, Thomas R. ; Anwander, Alfred ; Liptrot, Matthew George ; Dyrby, Tim B. / Validation of tractography : comparison with manganese tracing. In: Human Brain Mapping. 2015 ; Vol. 36, No. 10. pp. 4116-4134.

Bibtex

@article{6cad58cca66949a1b8e8823c56ddf2d9,
title = "Validation of tractography: comparison with manganese tracing",
abstract = "In this study, we used invasive tracing to evaluate white matter tractography methods based on ex vivo diffusion-weighted magnetic resonance imaging (dwMRI) data. A representative selection of tractography methods were compared to manganese tracing on a voxel-wise basis, and a more qualitative assessment examined whether, and to what extent, certain fiber tracts and gray matter targets were reached. While the voxel-wise agreement was very limited, qualitative assessment revealed that tractography is capable of finding the major fiber tracts, although there were some differences between the methods. However, false positive connections were very common and, in particular, we discovered that it is not possible to achieve high sensitivity (i.e., few false negatives) and high specificity (i.e., few false positives) at the same time. Closer inspection of the results led to the conclusion that these problems mainly originate from regions with complex fiber arrangements or high curvature and are not easily resolved by sophisticated local models alone. Instead, the crucial challenge in making tractography a truly useful and reliable tool in brain research and neurology lies in the acquisition of better data. In particular, the increase of spatial resolution, under preservation of the signal-to-noise-ratio, is key.",
keywords = "Brain connections, Crossing fibers, DTI, MRI, Tracking, White matter",
author = "Kn{\"o}sche, {Thomas R.} and Alfred Anwander and Liptrot, {Matthew George} and Dyrby, {Tim B.}",
year = "2015",
doi = "10.1002/hbm.22902",
language = "English",
volume = "36",
pages = "4116--4134",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "JohnWiley & Sons, Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Validation of tractography

T2 - comparison with manganese tracing

AU - Knösche, Thomas R.

AU - Anwander, Alfred

AU - Liptrot, Matthew George

AU - Dyrby, Tim B.

PY - 2015

Y1 - 2015

N2 - In this study, we used invasive tracing to evaluate white matter tractography methods based on ex vivo diffusion-weighted magnetic resonance imaging (dwMRI) data. A representative selection of tractography methods were compared to manganese tracing on a voxel-wise basis, and a more qualitative assessment examined whether, and to what extent, certain fiber tracts and gray matter targets were reached. While the voxel-wise agreement was very limited, qualitative assessment revealed that tractography is capable of finding the major fiber tracts, although there were some differences between the methods. However, false positive connections were very common and, in particular, we discovered that it is not possible to achieve high sensitivity (i.e., few false negatives) and high specificity (i.e., few false positives) at the same time. Closer inspection of the results led to the conclusion that these problems mainly originate from regions with complex fiber arrangements or high curvature and are not easily resolved by sophisticated local models alone. Instead, the crucial challenge in making tractography a truly useful and reliable tool in brain research and neurology lies in the acquisition of better data. In particular, the increase of spatial resolution, under preservation of the signal-to-noise-ratio, is key.

AB - In this study, we used invasive tracing to evaluate white matter tractography methods based on ex vivo diffusion-weighted magnetic resonance imaging (dwMRI) data. A representative selection of tractography methods were compared to manganese tracing on a voxel-wise basis, and a more qualitative assessment examined whether, and to what extent, certain fiber tracts and gray matter targets were reached. While the voxel-wise agreement was very limited, qualitative assessment revealed that tractography is capable of finding the major fiber tracts, although there were some differences between the methods. However, false positive connections were very common and, in particular, we discovered that it is not possible to achieve high sensitivity (i.e., few false negatives) and high specificity (i.e., few false positives) at the same time. Closer inspection of the results led to the conclusion that these problems mainly originate from regions with complex fiber arrangements or high curvature and are not easily resolved by sophisticated local models alone. Instead, the crucial challenge in making tractography a truly useful and reliable tool in brain research and neurology lies in the acquisition of better data. In particular, the increase of spatial resolution, under preservation of the signal-to-noise-ratio, is key.

KW - Brain connections

KW - Crossing fibers

KW - DTI

KW - MRI

KW - Tracking

KW - White matter

U2 - 10.1002/hbm.22902

DO - 10.1002/hbm.22902

M3 - Journal article

C2 - 26178765

AN - SCOPUS:84942279228

VL - 36

SP - 4116

EP - 4134

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 10

ER -

ID: 151951412