Literature DB >> 20467574

Segmenting magnetic resonance images via hierarchical mixture modelling.

Carey E Priebe1, Michael I Miller, J Tilak Ratnanather.   

Abstract

We present a statistically innovative as well as scientifically and practically relevant method for automatically segmenting magnetic resonance images using hierarchical mixture models. Our method is a general tool for automated cortical analysis which promises to contribute substantially to the science of neuropsychiatry. We demonstrate that our method has advantages over competing approaches on a magnetic resonance brain imagery segmentation task.

Year:  2006        PMID： 20467574      PMCID： PMC2868201          DOI： 10.1016/j.csda.2004.09.003

Source DB:  PubMed          Journal:  Comput Stat Data Anal        ISSN： 0167-9473            Impact factor:   1.681


  27 in total

1.  Magnetic resonance image tissue classification using a partial volume model.

Authors:  D W Shattuck; S R Sandor-Leahy; K A Schaper; D A Rottenberg; R M Leahy
Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

2.  Building 3D sulcal models using local geometry.

Authors:  A Caunce; C J Taylor
Journal:  Med Image Anal       Date:  2001-03       Impact factor: 8.545

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.  An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures.

Authors:  D Shen; E H Herskovits; C Davatzikos
Journal:  IEEE Trans Med Imaging       Date:  2001-04       Impact factor: 10.048

5.  A three-dimensional statistical analysis for CBF activation studies in human brain.

Authors:  K J Worsley; A C Evans; S Marrett; P Neelin
Journal:  J Cereb Blood Flow Metab       Date:  1992-11       Impact factor: 6.200

6.  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

7.  Statistical deformable model-based segmentation of image motion.

Authors:  C Kervrann; F Heitz
Journal:  IEEE Trans Image Process       Date:  1999       Impact factor: 10.856

8.  Widespread cerebral gray matter volume deficits in schizophrenia.

Authors:  R B Zipursky; K O Lim; E V Sullivan; B W Brown; A Pfefferbaum
Journal:  Arch Gen Psychiatry       Date:  1992-03

9.  Validation of partial tissue segmentation of single-channel magnetic resonance images of the brain.

Authors:  T J Grabowski; R J Frank; N R Szumski; C K Brown; H Damasio
Journal:  Neuroimage       Date:  2000-12       Impact factor: 6.556

Review 10.  Prefrontal cortical-amygdalar metabolism in major depression.

Authors:  W C Drevets
Journal:  Ann N Y Acad Sci       Date:  1999-06-29       Impact factor: 5.691
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  8 in total

1.  Evolutions equations in computational anatomy.

Authors:  Laurent Younes; Felipe Arrate; Michael I Miller
Journal:  Neuroimage       Date:  2008-11-12       Impact factor: 6.556

2.  Medial temporal lobe structure and cognition in individuals with schizophrenia and in their non-psychotic siblings.

Authors:  Meghana S Karnik-Henry; Lei Wang; Deanna M Barch; Michael P Harms; Carolina Campanella; John G Csernansky
Journal:  Schizophr Res       Date:  2012-04-26       Impact factor: 4.939

3.  Cingulate gyrus neuroanatomy in schizophrenia subjects and their non-psychotic siblings.

Authors:  Daniel R Calabrese; Lei Wang; Michael P Harms; J Tilak Ratnanather; Deanna M Barch; C Robert Cloninger; Paul A Thompson; Michael I Miller; John G Csernansky
Journal:  Schizophr Res       Date:  2008-08-09       Impact factor: 4.939

Review 4.  Atlas-based neuroinformatics via MRI: harnessing information from past clinical cases and quantitative image analysis for patient care.

Authors:  Susumu Mori; Kenichi Oishi; Andreia V Faria; Michael I Miller
Journal:  Annu Rev Biomed Eng       Date:  2013-04-29       Impact factor: 9.590

5.  Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model.

Authors:  Xiaoying Tang; Kenichi Oishi; Andreia V Faria; Argye E Hillis; Marilyn S Albert; Susumu Mori; Michael I Miller
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

6.  Validation of alternating Kernel mixture method: application to tissue segmentation of cortical and subcortical structures.

Authors:  Nayoung A Lee; Carey E Priebe; Michael I Miller; J Tilak Ratnanather
Journal:  J Biomed Biotechnol       Date:  2008

7.  Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles.

Authors:  Xiaoying Tang; Deana Crocetti; Kwame Kutten; Can Ceritoglu; Marilyn S Albert; Susumu Mori; Stewart H Mostofsky; Michael I Miller
Journal:  Front Neurosci       Date:  2015-03-03       Impact factor: 4.677

8.  Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes.

Authors:  Daniel J Tward; Jun Ma; Michael I Miller; Laurent Younes
Journal:  Int J Biomed Imaging       Date:  2013-04-03
  8 in total

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