Abstract
C15 Standard brain template and multi-atlas based segmentation of tghd minipig brain
Journal of neurology, neurosurgery and psychiatry, Vol.87(Suppl 1), pp.A32-A32
09/2016
DOI: 10.1136/jnnp-2016-314597.95
Abstract
BackgroundIn the TRACK tgHD minipig study, we aim to track longitudinal progression of the Libechov minipig, transgenic for the huntingtin gene. Annual MRI scans are conducted, including anatomical, spectroscopic and diffusion weighted imaging (DWI) sequences. Quantitative analyses require proper segmentation of the brain images. Standard Brain Templates are used as registration target, for intra subject comparison of various MR endpoints.AimsPrimary objective is to provide a multi-atlas for the Libechov minipig for automated segmentation of MR brain images. Secondary objectives are to achieve standard brain templates for various functions, including T1-weighted template and diffusivity templates.MethodsNine T1 weighted, sagittal acquired MRI volumes of Libechov minipigs were transformed into a common coordinate system and manually skull-stripped. A domestic pig reference atlas was registered on the extracted brains with a landmark and intensity based algorithm. The BRAINSTools library was used for tissue segmentation and structural segmentation. The segmentation was cleaned up manually and merged with Multi-atlas joint label fusion. The T1 weighted images were acquired with a 3 T Philips Achieva scanner. ResultsA T1-weighted standard brain volume has been created, with 10 segmented regions of interest, covering the basal ganglia and surroundings.ConclusionsIt was shown in previous data, that comprehensive MR assessments are feasible with the Libechov minipig, yielding high quality images. However, more work is needed to manually segment minipig brain images, to expand the multi-atlas to a feasible size. This will open the way to automated segmentation and thus to statistical analyses.This study was supported by a grant of the CHDI Foundation.
Details
- Title: Subtitle
- C15 Standard brain template and multi-atlas based segmentation of tghd minipig brain
- Creators
- Robin Schubert - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyFrauke Freisfeld - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyHans Johnson - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyEunyoung Regina Kim - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyNina Nagelmann - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyJan Motlik - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanySarah Schramke - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyVerena Schuldenzucker - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyLorena Rieke - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyTamara Matheis - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyMaike Wirsig - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyCornelius Faber - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, GermanyRalf Reilmann - Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
- Resource Type
- Abstract
- Publication Details
- Journal of neurology, neurosurgery and psychiatry, Vol.87(Suppl 1), pp.A32-A32
- DOI
- 10.1136/jnnp-2016-314597.95
- ISSN
- 0022-3050
- eISSN
- 1468-330X
- Language
- English
- Date published
- 09/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Psychiatry; Electrical and Computer Engineering; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative
- Record Identifier
- 9984221729002771
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