Literature DB >> 9070996

A technique for single-channel MR brain tissue segmentation: application to a pediatric sample.

J C Rajapakse1, J N Giedd, C DeCarli, J W Snell, A McLaughlin, Y C Vauss, A L Krain, S Hamburger, J L Rapoport.   

Abstract

A segmentation method is presented for gray matter, white matter, and cerebrospinal fluid (CSF) in thin-sliced single-channel brain magnetic resonance (MR) scans. The method is based on probabilistic modeling of intensity distributions and on a region growing technique. Interrater and intrarater reliabilities for the method were high, and comparison with phantom studies and hand-traced results from an experienced rater indicated good validity. The method was designed to account for spatially dependent image intensity inhomogeneities. Segmentation of MR brain scans of 105 (56 male and 49 female) healthy children and adolescents showed that although the total brain volume was stable over age 4-18, white matter increased and gray matter decreased significantly. There were no sex differences in total gray and white matter growth after correction for total brain volume. White matter volume increased the most in superior and posterior regions and laterality effects were seen in hemisphere tissue volumes. These findings are consistent with other reports, and further validate the segmentation technique.

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Year:  1996        PMID: 9070996     DOI: 10.1016/s0730-725x(96)00113-0

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

Review 1.  An artificial immune-activated neural network applied to brain 3D MRI segmentation.

Authors:  Akmal Younis; Mohamed Ibrahim; Mansur Kabuka; Nigel John
Journal:  J Digit Imaging       Date:  2007-12-11       Impact factor: 4.056

2.  A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology.

Authors:  Michael L Alosco; Michael A Sugarman; Lilah M Besser; Yorghos Tripodis; Brett Martin; Joseph N Palmisano; Neil W Kowall; Rhoda Au; Jesse Mez; Charles DeCarli; Thor D Stein; Ann C McKee; Ronald J Killiany; Robert A Stern
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

3.  Brain volume in pediatric patients with sickle cell disease: evidence of volumetric growth delay?

Authors:  R Grant Steen; Temitope Emudianughe; Michael Hunte; John Glass; Shengjie Wu; Xiaoping Xiong; Wilburn E Reddick
Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

4.  Diffusion tensor smoothing through weighted Karcher means.

Authors:  Owen Carmichael; Jun Chen; Debashis Paul; Jie Peng
Journal:  Electron J Stat       Date:  2013       Impact factor: 1.125

5.  Diffusion tensor imaging-based tissue segmentation: validation and application to the developing child and adolescent brain.

Authors:  Khader M Hasan; Christopher Halphen; Ambika Sankar; Thomas J Eluvathingal; Larry Kramer; Karla K Stuebing; Linda Ewing-Cobbs; Jack M Fletcher
Journal:  Neuroimage       Date:  2006-12-12       Impact factor: 6.556

6.  Early-Stage MRI Volumetric Differences in White Matter Hyperintensity and Temporal Lobe Volumes between Autopsy-Confirmed Alzheimer's Disease, Cerebral Small Vessel Disease, and Mixed Pathologies.

Authors:  Dixon Yang; Arjun Masurkar
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2022-04-26

7.  Association Between Leptin, Cognition, and Structural Brain Measures Among "Early" Middle-Aged Adults: Results from the Framingham Heart Study Third Generation Cohort.

Authors:  Victoria Sanborn; Sarah R Preis; Alvin Ang; Sherral Devine; Jesse Mez; Charles DeCarli; Rhoda Au; Michael L Alosco; John Gunstad
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

8.  Measuring brain volume by MR imaging: impact of measurement precision and natural variation on sample size requirements.

Authors:  R G Steen; R M Hamer; J A Lieberman
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

9.  Remote Blood Biomarkers of Longitudinal Cognitive Outcomes in a Population Study.

Authors:  Kumar B Rajan; Neelum T Aggarwal; Elizabeth A McAninch; Jennifer Weuve; Lisa L Barnes; Robert S Wilson; Charles DeCarli; Denis A Evans
Journal:  Ann Neurol       Date:  2020-09-29       Impact factor: 11.274

  9 in total

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