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Computation of the mid-sagittal plane in diffusion tensor MR brain images

Sylvain Prima 1, * Nicolas Wiest-Daesslé 1 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We propose a method for the automated computation of the mid-sagittal plane of the brain in diffusion tensor MR images. We estimate this plane as the one that best superposes the two hemispheres of the brain by reflection symmetry. This is done via the automated minimisation of a correlation-type global criterion over the tensor image. The minimisation is performed using the NEWUOA algorithm in a multiresolution framework. We validate our algorithm on synthetic diffusion tensor MR images. We quantitatively compare this computed plane with similar planes obtained from scalar diffusion images (such as FA and ADC maps) and from the B0 image (that is, without diffusion sensitisation). Finally, we show some results on real diffusion tensor MR images.
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Sylvain Prima, Nicolas Wiest-Daesslé. Computation of the mid-sagittal plane in diffusion tensor MR brain images. Medical Imaging 2007: Image Processing, Feb 2007, San Diego, United States. pp.65121I, ⟨10.1117/12.709467⟩. ⟨inserm-00140454⟩



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