Literature DB >> 18006334

Texture-based segmentation of diffuse lesions of the brain's white matter.

Frithjof Kruggel1, Joseph Suresh Paul, Hermann-Josef Gertz.   

Abstract

Diffuse lesions of the white matter of the human brain are common pathological findings in magnetic resonance images of elderly subjects. These lesions are typically caused by small vessel diseases (e.g., due to hypertension, diabetes), and related to cognitive decline. Because these lesions are inhomogeneous, unsharp, and faint, but show an intensity pattern that is different from the adjacent healthy tissue, a segmentation based on texture properties is proposed here. This method was successfully applied to a set of 116 image data sets of elderly subjects. Quantitative measures for the lesion load are derived that compare well with results from experts that visually rated lesions on a semiquantitative scale. Texture-based segmentation can be considered as a general method for lesion segmentation, and an outline for adapting this method to similar problems is presented.

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Year:  2007        PMID: 18006334     DOI: 10.1016/j.neuroimage.2007.09.058

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  An Automated Method for Segmenting White Matter Lesions through Multi-Level Morphometric Feature Classification with Application to Lupus.

Authors:  Mark Scully; Blake Anderson; Terran Lane; Charles Gasparovic; Vince Magnotta; Wilmer Sibbitt; Carlos Roldan; Ron Kikinis; Henry J Bockholt
Journal:  Front Hum Neurosci       Date:  2010-04-19       Impact factor: 3.169

2.  Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies.

Authors:  Vamsi Ithapu; Vikas Singh; Christopher Lindner; Benjamin P Austin; Chris Hinrichs; Cynthia M Carlsson; Barbara B Bendlin; Sterling C Johnson
Journal:  Hum Brain Mapp       Date:  2014-02-07       Impact factor: 5.038

3.  Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.

Authors:  Nirmalya Ghosh; Yu Sun; Bir Bhanu; Stephen Ashwal; Andre Obenaus
Journal:  Med Image Anal       Date:  2014-05-16       Impact factor: 8.545

4.  Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort.

Authors:  Frithjof Kruggel; Jessica Turner; L Tugan Muftuler
Journal:  Neuroimage       Date:  2009-11-12       Impact factor: 6.556

5.  Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs.

Authors:  Bassem A Abdullah; Akmal A Younis; Nigel M John
Journal:  Open Biomed Eng J       Date:  2012-05-09

Review 6.  Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

Authors:  Maria Eugenia Caligiuri; Paolo Perrotta; Antonio Augimeri; Federico Rocca; Aldo Quattrone; Andrea Cherubini
Journal:  Neuroinformatics       Date:  2015-07

7.  Development and evaluation of an open-source software package "CGITA" for quantifying tumor heterogeneity with molecular images.

Authors:  Yu-Hua Dean Fang; Chien-Yu Lin; Meng-Jung Shih; Hung-Ming Wang; Tsung-Ying Ho; Chun-Ta Liao; Tzu-Chen Yen
Journal:  Biomed Res Int       Date:  2014-03-17       Impact factor: 3.411

8.  Automated Detection of Lupus White Matter Lesions in MRI.

Authors:  Eloy Roura; Nicolae Sarbu; Arnau Oliver; Sergi Valverde; Sandra González-Villà; Ricard Cervera; Núria Bargalló; Xavier Lladó
Journal:  Front Neuroinform       Date:  2016-08-12       Impact factor: 4.081

  8 in total

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