Spatiotemporal morphometry of adjacent tissue layers with application to the study of sulcal formation

Authors:
Vidya Rajagopalan;Julia Scott;Piotr A. Habas;Kio Kim;François Rousseau;Orit A. Glenn;A. James Barkovich;Colin Studholme
Affiliations:
Biomedical Image Computing Group and Department of Pediatrics, University of Washington, Seattle;Biomedical Image Computing Group and Department of Pediatrics, University of Washington, Seattle;Biomedical Image Computing Group and Department of Pediatrics, University of Washington, Seattle;Biomedical Image Computing Group and Department of Pediatrics, University of Washington, Seattle;LSIIT, UMR 7005 CNRS/University of Strasbourg, Illkirch, France;Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA;Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA;Biomedical Image Computing Group and Department of Pediatrics, University of Washington, Seattle
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2011

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Abstract

The process of brain growth involves the expansion of tissue at different rates at different points within the brain. As the layers within the developing brain evolve they can thicken or increase in area as the brain surface begins to fold. In this work we propose a new spatiotemporal formulation of tensor based volume morphometry that is derived in relation to tissue boundaries. This allows the study of the directional properties of tissue growth by separately characterizing the changes in area and thickness of the adjacent layers. The approach uses temporally weighted, local regression across a population of anatomies with different ages to model changes in components of the growth radial and tangential to the boundary between tissue layers. The formulation is applied to the study of sulcal formation from in-utero MR imaging of human fetal brain anatomy. Results show that the method detects differential growth of tissue layers adjacent to the cortical surface, particularly at sulcal locations, as early as 22 gestational weeks.