Literature DB >> 9688163

Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms.

A J Worth, N Makris, M R Patti, J M Goodman, E A Hoge, V S Caviness, D N Kennedy.   

Abstract

This paper demonstrates a time-saving, automated method that helps to segment the lateral ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain images of normal control subjects. The method involves choosing intensity thresholds by using anatomical information and by locating peaks in histograms. To validate the method, the lateral ventricles and caudate nucleus were segmented in three brain scans by four experts, first using an established method involving isointensity contours and manual editing, and second using automatically generated intensity thresholds as an aid to the established method. The results demonstrate both time savings and increased reliability.

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Year:  1998        PMID: 9688163     DOI: 10.1109/42.700743

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  CANDIShare: a resource for pediatric neuroimaging data.

Authors:  David N Kennedy; Christian Haselgrove; Steven M Hodge; Pallavi S Rane; Nikos Makris; Jean A Frazier
Journal:  Neuroinformatics       Date:  2012-07

2.  Automatic segmentation of the human brain ventricles from MR images by knowledge-based region growing and trimming.

Authors:  Jimin Liu; Su Huang; Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2009-05-16

3.  Ventricle Boundary in CT: Partial Volume Effect and Local Thresholds.

Authors:  Ihar Volkau; Fiftarina Puspitasari; Wieslaw L Nowinski
Journal:  Int J Biomed Imaging       Date:  2010-05-17

4.  Three-dimensional coupled-object segmentation using symmetry and tissue type information.

Authors:  Payam B Bijari; Alireza Akhondi-Asl; Hamid Soltanian-Zadeh
Journal:  Comput Med Imaging Graph       Date:  2009-11-22       Impact factor: 4.790

5.  Cerebellum, language, and cognition in autism and specific language impairment.

Authors:  Steven M Hodge; Nikos Makris; David N Kennedy; Verne S Caviness; James Howard; Lauren McGrath; Shelly Steele; Jean A Frazier; Helen Tager-Flusberg; Gordon J Harris
Journal:  J Autism Dev Disord       Date:  2010-03

6.  Anatomically curated segmentation of human subcortical structures in high resolution magnetic resonance imaging: An open science approach.

Authors:  R Jarrett Rushmore; Kyle Sunderland; Holly Carrington; Justine Chen; Michael Halle; Andras Lasso; G Papadimitriou; N Prunier; Elizabeth Rizzoni; Brynn Vessey; Peter Wilson-Braun; Yogesh Rathi; Marek Kubicki; Sylvain Bouix; Edward Yeterian; Nikos Makris
Journal:  Front Neuroanat       Date:  2022-09-30       Impact factor: 3.543

7.  Segmentation of the striatum from MR brain images to calculate the 99mTc-TRODAT-1 binding ratio in SPECT images.

Authors:  Ching-Fen Jiang; Chiung-Chih Chang; Shu-Hua Huang; Chia-Hsiang Wu
Journal:  Comput Math Methods Med       Date:  2013-06-18       Impact factor: 2.238

  7 in total

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