Literature DB >> 25014938

Shape analysis of the human brain: a brief survey.

Matthew J Nitzken, Manuel F Casanova, Georgy Gimelfarb, Tamer Inanc, Jacek M Zurada, Ayman El-Baz.   

Abstract

The survey outlines and compares popular computational techniques for quantitative description of shapes of major structural parts of the human brain, including medial axis and skeletal analysis, geodesic distances, Procrustes analysis, deformable models, spherical harmonics, and deformation morphometry, as well as other less widely used techniques. Their advantages, drawbacks, and emerging trends, as well as results of applications, in particular, for computer-aided diagnostics, are discussed.

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Year:  2014        PMID: 25014938     DOI: 10.1109/JBHI.2014.2298139

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  4 in total

1.  Shape analysis based on depth-ordering.

Authors:  Yi Hong; Yi Gao; Marc Niethammer; Sylvain Bouix
Journal:  Med Image Anal       Date:  2015-04-16       Impact factor: 8.545

2.  Test-retest reliability of brain morphology estimates.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Brain Inform       Date:  2017-01-05

3.  Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation.

Authors:  Yiming Xiao; Maryse Fortin; Joshua Ahn; Hassan Rivaz; Terry M Peters; Michele C Battié
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

4.  Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals.

Authors:  Gerard Martí-Juan; Gerard Sanroma-Guell; Raffaele Cacciaglia; Carles Falcon; Grégory Operto; José Luis Molinuevo; Miguel Ángel González Ballester; Juan Domingo Gispert; Gemma Piella
Journal:  Hum Brain Mapp       Date:  2020-10-05       Impact factor: 5.038

  4 in total

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