Literature DB >> 28593029

ANATOMICAL GUIDED SEGMENTATION WITH NON-STATIONARY TISSUE CLASS DISTRIBUTIONS IN AN EXPECTATION-MAXIMIZATION FRAMEWORK.

Kilian M Pohl1, Sylvain Bouix2,3, Ron Kikinis2, W Eric L Grimson1.   

Abstract

High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structures. We further investigate this line of research by introducing hierarchical representations of anatomical structures in an Expectation-Maximization framework. This new approach enables us to divide a complex segmentation scenario into less difficult sub-problems reducing the scenario's statistical complexity. We demonstrate the method's strength by segmenting a set of brain MR images into 31 different anatomical structures as well as comparing it to other methods.

Year:  2005        PMID： 28593029      PMCID： PMC5459362          DOI： 10.1109/ISBI.2004.1398479

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN： 1945-7928


  9 in total

1.  Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections.

Authors:  A Guimond; A Roche; N Ayache; J Meunier
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Automated model-based bias field correction of MR images of the brain.

Authors:  K Van Leemput; F Maes; D Vandermeulen; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1999-10       Impact factor: 10.048

Review 3.  Current methods in medical image segmentation.

Authors:  D L Pham; C Xu; J L Prince
Journal:  Annu Rev Biomed Eng       Date:  2000       Impact factor: 9.590

4.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

5.  A shape-based approach to the segmentation of medical imagery using level sets.

Authors:  Andy Tsai; Anthony Yezzi; William Wells; Clare Tempany; Dewey Tucker; Ayres Fan; W Eric Grimson; Alan Willsky
Journal:  IEEE Trans Med Imaging       Date:  2003-02       Impact factor: 10.048

6.  An accurate and efficient bayesian method for automatic segmentation of brain MRI.

Authors:  J L Marroquin; B C Vemuri; S Botello; F Calderon; A Fernandez-Bouzas
Journal:  IEEE Trans Med Imaging       Date:  2002-08       Impact factor: 10.048

7.  Improved watershed transform for medical image segmentation using prior information.

Authors:  V Grau; A U J Mewes; M Alcañiz; R Kikinis; S K Warfield
Journal:  IEEE Trans Med Imaging       Date:  2004-04       Impact factor: 10.048

8.  Adaptive segmentation of MRI data.

Authors:  W M Wells; W L Grimson; R Kikinis; F A Jolesz
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

9.  Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images.

Authors:  Kilian M Pohl; William M Wells; Alexandre Guimond; Kiyoto Kasai; Martha E Shenton; Ron Kikinis; W Eric L Grimson; Simon K Warfield
Journal:  Med Image Comput Comput Assist Interv       Date:  2002-10-10
  9 in total
  8 in total

1.  On evaluating brain tissue classifiers without a ground truth.

Authors:  Sylvain Bouix; Marcos Martin-Fernandez; Lida Ungar; Motoaki Nakamura; Min-Seong Koo; Robert W McCarley; Martha E Shenton
Journal:  Neuroimage       Date:  2007-04-25       Impact factor: 6.556

2.  Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images.

Authors:  Kilian M Pohl; John Fisher; Ron Kikinis; W Eric L Grimson; William M Wells
Journal:  Comput Vis Biomed Image Appl (2005)       Date:  2005-10

3.  Coupling Statistical Segmentation and PCA Shape Modeling.

Authors:  Kilian M Pohl; Simon K Warfield; Ron Kikinis; W Eric L Grimson; William M Wells
Journal:  Med Image Comput Comput Assist Interv       Date:  2004-09

4.  Multimodal Registration of White Matter Brain Data via Optimal Mass Transport.

Authors:  Tauseefur Rehman; Eldad Haber; Kilian M Pohl; Steven Haker; Mike Halle; Florin Talos; Lawrence L Wald; Ron Kikinis; Allen Tannenbaum
Journal:  Midas J       Date:  2008-09

5.  In vivo estimation of normal amygdala volume from structural MRI scans with anatomical-based segmentation.

Authors:  Achilleas Siozopoulos; Vasilios Thomaidis; Panos Prassopoulos; Aliki Fiska
Journal:  Surg Radiol Anat       Date:  2017-08-31       Impact factor: 1.246

6.  Quantitative susceptibility mapping by inversion of a perturbation field model: correlation with brain iron in normal aging.

Authors:  Clare B Poynton; Mark Jenkinson; Elfar Adalsteinsson; Edith V Sullivan; Adolf Pfefferbaum; William Wells
Journal:  IEEE Trans Med Imaging       Date:  2014-09-16       Impact factor: 10.048

7.  Williams syndrome and memory: a neuroanatomic and cognitive approach.

Authors:  Adriana Sampaio; Nuno Sousa; Montse Férnandez; Cristiana Vasconcelos; Martha E Shenton; Oscar F Gonçalves
Journal:  J Autism Dev Disord       Date:  2010-07

8.  Towards the Personalized Treatment of Glioblastoma: Integrating Patient-Specific Clinical Data in a Continuous Mechanical Model.

Authors:  Maria Cristina Colombo; Chiara Giverso; Elena Faggiano; Carlo Boffano; Francesco Acerbi; Pasquale Ciarletta
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240
  8 in total

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