title: Combining surface and fiber geometry: an integrated approach to brain morphology.
abstract: Despite the fact that several theories link cortical development and function to the development of white matter and its geometrical structure, the relationship between gray and white matter morphology has not been widely researched. In this paper, we propose a novel framework for investigating this relationship. Given a set of fiber tracts which connect to a particular cortical region, the key idea is to compute two scalar fields that represent geometrical characteristics of the white matter and of the surface of the cortical region. The distributions of these scalar values are then linked via Mutual Information, which results in a quantitative marker that can be used in the study of normal and pathological brain structure and development. We apply this framework to a population study on autism spectrum disorder in children.
authors: Laboratory for Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors: Peter
authors: P
authors: Savadjiev
authors: Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors: Yogesh
authors: Y
authors: Rathi
authors: Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors: Sylvain
authors: S
authors: Bouix
authors: Section of Biomedical Image Analysis, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
authors: Alex R
authors: AR
authors: Smith
authors: Children's Hospital of Philadelphia, Philadelphia, PA, USA.
authors: Robert T
authors: RT
authors: Schultz
authors: Section of Biomedical Image Analysis, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
authors: Ragini
authors: R
authors: Verma
authors: Laboratory for Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors: Carl-Fredrik
authors: CF
authors: Westin
mesh_terms: D000293:Adolescent; D000465:Algorithms; D001921:Brain / Q000473:pathology*; D002648:Child; D002659:Child Development Disorders, Pervasive / Q000473:pathology*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D018511:Systems Integration