Literature DB >> 28966430

Subject-Specific Longitudinal Shape Analysis by Coupling Spatiotemporal Shape Modeling with Medial Analysis.

Sungmin Hong1, James Fishbaugh1, Morteza Rezanejad2, Kaleem Siddiqi2, Hans Johnson3, Jane Paulsen3, Eun Young Kim3, Guido Gerig1.   

Abstract

Modeling subject-specific shape change is one of the most important challenges in longitudinal shape analysis of disease progression. Whereas anatomical change over time can be a function of normal aging; anatomy can also be impacted by disease related degeneration. Shape changes to anatomy may also be affected by external structural changes from neighboring structures, which may cause non-linear pose variations. In this paper, we propose a framework to analyze disease related shape changes by coupling extrinsic modeling of the ambient anatomical space via spatiotemporal deformations with intrinsic shape properties from medial surface analysis. We compare intrinsic shape properties of a subject-specific shape trajectory to a normative 4D shape atlas representing normal aging to separately quantify shape changes related to disease. The spatiotemporal shape modeling establishes inter/intra subject anatomical correspondence, which in turn enables comparisons between subjects and the 4D shape atlas, and also quantitative analysis of disease related shape change. The medial surface analysis captures intrinsic shape properties related to local patterns of deformation. The proposed framework simultaneously models extrinsic longitudinal shape changes in the ambient anatomical space, as well as intrinsic shape properties to give localized measurements of degeneration. Six high risk subjects and six controls are randomly sampled from a Huntington's disease image database for quantitative and qualitative comparison.

Entities:  

Year:  2017        PMID: 28966430      PMCID: PMC5617643          DOI: 10.1117/12.2254675

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  8 in total

1.  Geodesic shape regression in the framework of currents.

Authors:  James Fishbaugh; Marcel Prastawa; Guido Gerig; Stanley Durrleman
Journal:  Inf Process Med Imaging       Date:  2013

2.  Statistical shape analysis of neuroanatomical structures based on medial models.

Authors:  M Styner; G Gerig; J Lieberman; D Jones; D Weinberger
Journal:  Med Image Anal       Date:  2003-09       Impact factor: 8.545

3.  Statistical models of sets of curves and surfaces based on currents.

Authors:  Stanley Durrleman; Xavier Pennec; Alain Trouvé; Nicholas Ayache
Journal:  Med Image Anal       Date:  2009-07-17       Impact factor: 8.545

4.  Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images.

Authors:  Marco Lorenzi; Xavier Pennec; Giovanni B Frisoni; Nicholas Ayache
Journal:  Neurobiol Aging       Date:  2014-09-06       Impact factor: 4.673

5.  Biological shape and visual science. I.

Authors:  H Blum
Journal:  J Theor Biol       Date:  1973-02       Impact factor: 2.691

6.  Longitudinal modeling of appearance and shape and its potential for clinical use.

Authors:  Guido Gerig; James Fishbaugh; Neda Sadeghi
Journal:  Med Image Anal       Date:  2016-06-15       Impact factor: 8.545

7.  Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis.

Authors:  Laurent Younes; J Tilak Ratnanather; Timothy Brown; Elizabeth Aylward; Peg Nopoulos; Hans Johnson; Vincent A Magnotta; Jane S Paulsen; Russell L Margolis; Roger L Albin; Michael I Miller; Christopher A Ross
Journal:  Hum Brain Mapp       Date:  2012-12-20       Impact factor: 5.038

8.  Analysis of longitudinal shape variability via subject specific growth modeling.

Authors:  James Fishbaugh; Marcel Prastawa; Stanley Durrleman; Joseph Piven; Guido Gerig
Journal:  Med Image Comput Comput Assist Interv       Date:  2012
  8 in total

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