Literature DB >> 12872951

A primal sketch of the cortex mean curvature: a morphogenesis based approach to study the variability of the folding patterns.

A Cachia1, J F Mangin, D Rivière, F Kherif, N Boddaert, A Andrade, D Papadopoulos-Orfanos, J B Poline, I Bloch, M Zilbovicius, P Sonigo, F Brunelle, J Régis.   

Abstract

In this paper, we propose a new representation of the cortical surface that may be used to study the cortex folding process and to recover some putative stable anatomical landmarks called sulcal roots usually buried in the depth of adult brains. This representation is a primal sketch derived from a scale space computed for the mean curvature of the cortical surface. This scale-space stems from a diffusion equation geodesic to the cortical surface. The primal sketch is made up of objects defined from mean curvature minima and saddle points. The resulting sketch aims first at highlighting significant elementary cortical folds, second at representing the fold merging process during brain growth. The relevance of the framework is illustrated by the study of central sulcus sulcal roots from antenatal to adult age. Some results are proposed for ten different brains. Some preliminary results are also provided for superior temporal sulcus.

Mesh:

Year:  2003        PMID: 12872951     DOI: 10.1109/TMI.2003.814781

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  42 in total

1.  Bezier Control Points Image: A Novel Shape Representation Approach for Medical Imaging.

Authors:  Dajiang Zhu; Kaiming Li; Lei Guo; Tianming Liu
Journal:  Conf Rec Asilomar Conf Signals Syst Comput       Date:  2009-11-01

Review 2.  Neuroimaging of cortical development and brain connectivity in human newborns and animal models.

Authors:  Gregory A Lodygensky; Lana Vasung; Stéphane V Sizonenko; Petra S Hüppi
Journal:  J Anat       Date:  2010-10       Impact factor: 2.610

3.  Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.

Authors:  Kiho Im; Jong-Min Lee; Uicheul Yoon; Yong-Wook Shin; Soon Beom Hong; In Young Kim; Jun Soo Kwon; Sun I Kim
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

Review 4.  Exploiting human anatomical variability as a link between genome and cognome.

Authors:  C M Leonard; M A Eckert; J M Kuldau
Journal:  Genes Brain Behav       Date:  2006       Impact factor: 3.449

5.  Generalized surface flows for deformable registration and cortical matching.

Authors:  I Eckstein; A A Joshi; C C J Kuo; R Leahy; M Desbrun
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

6.  A framework for in vivo quantification of regional brain folding in premature neonates.

Authors:  C E Rodriguez-Carranza; P Mukherjee; D Vigneron; J Barkovich; C Studholme
Journal:  Neuroimage       Date:  2008-01-19       Impact factor: 6.556

7.  Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis.

Authors:  Jie Shi; Wen Zhang; Miao Tang; Richard J Caselli; Yalin Wang
Journal:  Med Image Anal       Date:  2016-09-06       Impact factor: 8.545

8.  Hamilton-Jacobi skeleton on cortical surfaces.

Authors:  Y Shi; P M Thompson; I Dinov; A W Toga
Journal:  IEEE Trans Med Imaging       Date:  2008-05       Impact factor: 10.048

9.  A reaction-diffusion model of human brain development.

Authors:  Julien Lefèvre; Jean-François Mangin
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

10.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

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