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Intracranial volume in neuroimaging: estimation and use in regional brain volume normalization


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Title: Intracranial volume in neuroimaging: estimation and use in regional brain volume normalization
Authors: Klasson, Niklas
E-mail: niklas.klasson@gu.se
Issue Date: 15-Feb-2019
University: University of Gothenburg. Sahlgrenska Academy
Institution: Institute of Neuroscience and Physiology. Department of Psychiatry and Neurochemistry
Parts of work: I. Klasson Niklas, Olsson Erik, Rudemo Mats, Eckerström Carl, Malmgren Helge, Wallin Anders. Valid and efficient manual estimates of intracranial volume from magnetic resonance images. BMC Medical Imaging. 2015; 15:5.
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II. Klasson Niklas, Olsson Erik, Eckerström Carl, Malmgren Helge, Wallin Anders. Delineation of two intracranial areas and the perpendicular intracranial width is sufficient for intracranial volume estimation. Insights into Imaging. 2018;9(1):25-34.
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III. Klasson Niklas, Olsson Erik, Eckerström Carl, Malmgren Helge, Wallin Anders. Estimated intracranial volume from FreeSurfer is biased by total brain volume. European Radiology Experimental. 2018; 2:24.
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IV. Klasson Niklas, Olsson Erik, Eckerström Carl, Malmgren Helge, Wallin Anders. Statistics of brain estimates normalized by intracranial volume. Manuscript
Date of Defence: 2019-03-15
Disputation: Fredagen den 15 mars 2019, kl. 9.00, Hörsal Kammaren, Vita stråket 12, Sahlgrenska universitetssjukhuset/Sahlgrenska, Göteborg
Degree: Doctor of Philosophy (Medicine)
Publication type: Doctoral thesis
Keywords: magnetic resonance imaging
intracranial volume
normalization
Abstract: The aim of this thesis is to validate methods for estimation of intracranial volume in magnetic resonance images and to improve our understanding of the effect of intracranial volume normalization. To achieve the first part of the aim, 62 gold standard estimates of intracranial volume were generated by manually segmenting 1.5 T T1-weighted magnetic resonance images. These estimates were then used to validate a more work-efficient manual method that is frequently used in neuroimaging research. ... more
ISBN: 978-91-7833-304-2 (PRINT)
978-91-7833-305-9 (PDF)
URI: http://hdl.handle.net/2077/58238
Appears in Collections:Doctoral Theses from Sahlgrenska Academy
Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
Doctoral Theses / Doktorsavhandlingar Institutionen för neurovetenskap och fysiologi

 

 

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