Literature DB >> 18215923

A surface-based technique for warping three-dimensional images of the brain.

P Thompson1, A W Toga.   

Abstract

The authors have devised, implemented, and tested a fast, spatially accurate technique for calculating the high-dimensional deformation field relating the brain anatomies of an arbitrary pair of subjects. The resulting three-dimensional (3-D) deformation map can be used to quantify anatomic differences between subjects or within the same subject over time and to transfer functional information between subjects or integrate that information on a single anatomic template. The new procedure is based on developmental processes responsible for variations in normal human anatomy and is applicable to 3-D brain images in general, regardless of modality. Hybrid surface models known as Chen surfaces (based on superquadrics and spherical harmonics) are used to efficiently initialize 3-D active surfaces, and these then extract from both scans the developmentally fundamental surfaces of the ventricles and cortex. The construction of extremely complex surface deformation maps on the internal cortex is made easier by building a generic surface structure to model it. Connected systems of parametric meshes model several deep sulci whose trajectories represent critical functional boundaries. These sulci are sufficiently extended inside the brain to reflect subtle and distributed variations in neuroanatomy between subjects. The algorithm then calculates the high-dimensional volumetric warp (typically with 3842x256x3 approximately 0.1 billion degrees of freedom) deforming one 3-D scan into structural correspondence with the other. Integral distortion functions are used to extend the deformation field required to elastically transform nested surfaces to their counterparts in the target scan. The algorithm's accuracy is tested, by warping 3-D magnetic resonance imaging (MRI) volumes from normal subjects and Alzheimer's patients, and by warping full-color 1024(3 ) digital cryosection volumes of the human head onto MRI volumes. Applications are discussed, including the transfer of multisubject 3-D functional, vascular, and histologic maps onto a single anatomic template; the mapping of 3-D brain atlases onto the scans of new subjects; and the rapid detection, quantification, and mapping of local shape changes in 3-D medical images in disease and during normal or abnormal growth and development.

Entities:  

Year:  1996        PMID: 18215923     DOI: 10.1109/42.511745

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


  90 in total

1.  Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain.

Authors:  P M Thompson; R P Woods; M S Mega; A W Toga
Journal:  Hum Brain Mapp       Date:  2000-02       Impact factor: 5.038

2.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

3.  DICCCOL: dense individualized and common connectivity-based cortical landmarks.

Authors:  Dajiang Zhu; Kaiming Li; Lei Guo; Xi Jiang; Tuo Zhang; Degang Zhang; Hanbo Chen; Fan Deng; Carlos Faraco; Changfeng Jin; Chong-Yaw Wee; Yixuan Yuan; Peili Lv; Yan Yin; Xiaolei Hu; Lian Duan; Xintao Hu; Junwei Han; Lihong Wang; Dinggang Shen; L Stephen Miller; Lingjiang Li; Tianming Liu
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

4.  CORTICAL SURFACE PARAMETERIZATION BY P-HARMONIC ENERGY MINIMIZATION.

Authors:  Anand A Joshi; David W Shattuck; Paul M Thompson; Richard M Leahy
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2004-04-01

5.  Topological correction of brain surface meshes using spherical harmonics.

Authors:  Rachel Aine Yotter; Robert Dahnke; Paul M Thompson; Christian Gaser
Journal:  Hum Brain Mapp       Date:  2010-07-27       Impact factor: 5.038

6.  A geometric database for gene expression data.

Authors:  Tao Ju; Joe Warren; Gregor Eichele; Christina Thaller; Wah Chiu; James Carson
Journal:  Symp Geom Process       Date:  2003

7.  DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.

Authors:  Yangming Ou; Aristeidis Sotiras; Nikos Paragios; Christos Davatzikos
Journal:  Med Image Anal       Date:  2010-07-17       Impact factor: 8.545

Review 8.  Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping.

Authors:  Loukas G Astrakas; Maria I Argyropoulou
Journal:  Pediatr Radiol       Date:  2010-05-13

9.  Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex.

Authors:  B T Thomas Yeo; Mert R Sabuncu; Tom Vercauteren; Daphne J Holt; Katrin Amunts; Karl Zilles; Polina Golland; Bruce Fischl
Journal:  IEEE Trans Med Imaging       Date:  2010-06-07       Impact factor: 10.048

10.  Detecting disease-specific patterns of brain structure using cortical pattern matching and a population-based probabilistic brain atlas.

Authors:  Paul M Thompson; Michael S Mega; Christine Vidal; Judith L Rapoport; Arthur W Toga
Journal:  Inf Process Med Imaging       Date:  2001
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