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  Morphology-based cortical thickness estimation

Lohmann, G., Preul, C., & Hund-Georgiadis, M. (2003). Morphology-based cortical thickness estimation. In C. Taylor, & J. Alison Noble (Eds.), Information Processing in Medical Imaging: 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003 (pp. 89-100). Berlin, Germany: Springer.

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 Creators:
Lohmann, G1, Author           
Preul, C, Author
Hund-Georgiadis, M, Author
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1External Organizations, ou_persistent22              

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 Abstract: We describe a new approach to estimating the cortical thickness of human brains using magnetic resonance imaging data. Our algorithm is part of a processing chain consisting of a brain segmentation (skull stripping), as well as white and grey matter segmentation procedures. In this paper, only the grey matter segmentation together with the cortical thickness estimation is described. In contrast to many existing methods, our estimation method is voxel-based and does not use any surface meshes. While this fact poses a principal limit on the accuracy that can be achieved by our method, it offers tremendous advantages with respect to practical applicability. In particular, it is applicable to data sets showing severe cortical atrophies that involve areas of high curvature and extremely thin gyral stalks. In contrast to many other methods, it is entirely automatic and very fast with computation times of a few minutes. Our method has been used in two clinical studies involving a total of 27 patients and 23 healthy subjects.

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 Dates: 2003-07
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/978-3-540-45087-0_8
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Title: 18th International Conference on Information Processing in Medical Imaging (IPMI 2003)
Place of Event: Ambleside, UK
Start-/End Date: 2003-07-20 - 2003-07-25

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Title: Information Processing in Medical Imaging: 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003
Source Genre: Proceedings
 Creator(s):
Taylor, C, Editor
Alison Noble, J, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 89 - 100 Identifier: ISBN: 978-3-540-40560-3

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 2732 Sequence Number: - Start / End Page: - Identifier: -