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Title: Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space
Authors: Dhollander, Thijs
Veraart, Jelle
Van Hecke, Wim
Maes, Frederik
Sunaert, Stefan
Sijbers, Jan
Suetens, Paul
Issue Date: 2011
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:6892 pages:166-173
Conference: International conference on medical image computing and computer assisted intervention - MICCAI 2011 edition:14 location:Toronto, Ontario, Canada date:18-22 September 2011
Abstract: In the field of diffusion weighted imaging (DWI), it is common to fit one of many available models to the acquired data. A hybrid diffusion imaging (HYDI) approach even allows to reconstruct different models and measures from a single dataset. Methods for DWI atlas construction (and registration) are as plenty as the number of available models. Therefore, it would be nice if we were able to perform atlas building before model reconstruction.
In this work, we present a method for atlas construction of DWI data in q-space: we developed a new multi-subject multi-channel diffeomorphic matching algorithm, which is combined with a recently proposed DWI retransformation method in q-space.
We applied our method to HYDI data of 10 healthy subjects. From the resulting atlas, we also reconstructed some advanced models. We hereby demonstrate the feasibility of q-space atlas building, as well as the quality, advantages and possibilities of such an atlas.
Description: Dhollander T., Veraart J., Van Hecke W., Maes F., Sunaert S., Sijbers J., Suetens P., ''Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space'', Lecture notes in computer science, vol. 6892, part II, pp. 166-173, 2011 (14th international conference on medical image computing and computer assisted intervention - MICCAI 2011, September 18-22, 2011, Toronto, Canada).
ISBN: 978-3-642-23628-0
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images
Radiology
Translational MRI (+)

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