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Automated interhemi...
Automated interhemispheric surface extraction in T1-weighted MRI using intensity and symmetry information
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- Nordenskjöld, Richard (författare)
- Uppsala universitet,Enheten för radiologi
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- Larsson, Elna-Marie (författare)
- Uppsala universitet,Enheten för radiologi
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- Ahlström, Håkan (författare)
- Uppsala universitet,Enheten för radiologi
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- Johansson, Lars (författare)
- Uppsala universitet,Enheten för radiologi
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- Kullberg, Joel (författare)
- Uppsala universitet,Enheten för radiologi
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(creator_code:org_t)
- Elsevier BV, 2014
- 2014
- Engelska.
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Ingår i: Journal of Neuroscience Methods. - : Elsevier BV. - 0165-0270 .- 1872-678X. ; 222, s. 97-105
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https://uu.diva-port... (primary) (Raw object)
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background: Localizing the human interhemispheric region is of interest in image analysis mainly because it can be used for hemisphere separation and as a preprocessing step for interhemispheric structure localization. Many existing methods focus on only one of these applications. New method: Here a new Intensity and Symmetry based Interhemispheric Surface extraction method (ISIS) that enables both applications is presented. A combination of voxel intensity and local symmetry is used to optimize a surface from T1-weighted MRI. Results: ISIS was evaluated in regard to cerebral hemisphere separation using manual segmentations. It was also evaluated in regard to being a preprocessing step for interhemispheric structure localization using manually placed landmarks. Comparison with existing methods: Results were compared to cerebral hemisphere separations by Brain-Visa and Freesurfer as well as to a midsagittal plane (MSP) extraction method. ISIS had less misclassified voxels than BrainVisa (ISIS: 0.119+/-0.114%, BrainVisa: 0.138+/-0.084%, p=0.020). Freesurfer had less misclassified voxels than ISIS for one dataset (ISIS: 0.063+/-0.056%, Freesurfer: 0.049+/-0.044%, p=0.019), but failed to produce usable results for another. Total voxel distance from all manual landmarks did not differ significantly between ISIS and the MSP method (ISIS: 4.00+/-1.88, MSP: 4.47+/-4.97). Conclusions: ISIS was found successful in both cerebral hemisphere separation and as a preprocessing step for interhemispheric structure localization. It needs no time consuming preprocessing and extracts the interhemispheric surface in less than 30 s.
Nyckelord
- Interhemispheric surface
- Graph cut
- Hemisphere separation
- Midsagittal plane
- Anterior commissure
- Posterior commissure
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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