Literature DB >> 17354863

Simulation of local and global atrophy in Alzheimer's disease studies.

Oscar Camara-Rey1, Martin Schweiger, Rachael I Scahill, William R Crum, Julia A Schnabell, Derek L G Hill, Nick C Fox.   

Abstract

We propose a method for atrophy simulation in structural MR images based on finite-element methods, providing data for objective evaluation of atrophy measurement techniques. The modelling of diffuse global and regional atrophy is based on volumetric measurements from patients with known disease and guided by clinical knowledge of the relative pathological involvement of regions. The consequent biomechanical readjustment of structures is modelled using conventional physics-based techniques based on tissue properties and simulating plausible deformations with finite-element methods. Tissue characterization is performed by means of the meshing of a labelled brain atlas, creating a reference volumetric mesh, and a partial volume tissue model is used to reduce the impact of the mesh discretization. An example of simulated data is shown and a visual evaluation protocol used by experts has been developed to assess the degree of realism of the simulated images. First results demonstrate the potential of the proposed methodology.

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Year:  2006        PMID: 17354863     DOI: 10.1007/11866763_115

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  3 in total

1.  MIRIAD--Public release of a multiple time point Alzheimer's MR imaging dataset.

Authors:  Ian B Malone; David Cash; Gerard R Ridgway; David G MacManus; Sebastien Ourselin; Nick C Fox; Jonathan M Schott
Journal:  Neuroimage       Date:  2012-12-28       Impact factor: 6.556

2.  Average volume reference space for large scale registration of whole-body magnetic resonance images.

Authors:  Martino Pilia; Joel Kullberg; Håkan Ahlström; Filip Malmberg; Simon Ekström; Robin Strand
Journal:  PLoS One       Date:  2019-10-01       Impact factor: 3.240

3.  Improved DTI registration allows voxel-based analysis that outperforms tract-based spatial statistics.

Authors:  Christopher G Schwarz; Robert I Reid; Jeffrey L Gunter; Matthew L Senjem; Scott A Przybelski; Samantha M Zuk; Jennifer L Whitwell; Prashanthi Vemuri; Keith A Josephs; Kejal Kantarci; Paul M Thompson; Ronald C Petersen; Clifford R Jack
Journal:  Neuroimage       Date:  2014-03-18       Impact factor: 6.556

  3 in total

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