Literature DB >> 10332862

MR image segmentation and tissue metabolite contrast in 1H spectroscopic imaging of normal and aging brain.

N Lundbom1, A Barnett, S Bonavita, N Patronas, J Rajapakse, G Di Chiro.   

Abstract

The impact of image segmentation on 0.84-ml nominal voxel volume proton spectroscopic imaging in normal brain and in age-related cortical atrophy was investigated. Segmentation improved the gray matter-white matter (GM-WM) contrast for N-acetyl aspartate (NAA)/creatine (Cr) and choline (Cho)/Cr in normal brain, and for NAA/Cho and NAA/Cr in atrophic brain. NAA(GM/WM) (approximately 0.7), Cho(GM/WM) (approximately 0.8), and Cr(GM/WM) (approximately 1.3) in normal brain obtained with segmentation agreed with values obtained with quantitative magnetic resonance spectroscopy. Age-related cortical atrophy led to decreased cortical GM NAA/Cho and NAA/Cr; no changes were evident in WM or in NAA(GM/WM), Cho(GM/WM), or Cr(GM/WM). GM/WM metabolite analysis may be of limited use in conditions in which parallel metabolite changes occur in WM and GM.

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Year:  1999        PMID: 10332862     DOI: 10.1002/(sici)1522-2594(199904)41:4<841::aid-mrm25>3.0.co;2-t

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  16 in total

1.  Region and tissue differences of metabolites in normally aged brain using multislice 1H magnetic resonance spectroscopic imaging.

Authors:  N Schuff; F Ezekiel; A C Gamst; D L Amend; A A Capizzano; A A Maudsley; M W Weiner
Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

2.  Improved reconstruction for MR spectroscopic imaging.

Authors:  Yufang Bao; Andrew A Maudsley
Journal:  IEEE Trans Med Imaging       Date:  2007-05       Impact factor: 10.048

3.  Regional apparent metabolite concentrations in young adult brain measured by (1)H MR spectroscopy at 3 Tesla.

Authors:  Eva H Baker; Gianpaolo Basso; Peter B Barker; Mari A Smith; David Bonekamp; Alena Horská
Journal:  J Magn Reson Imaging       Date:  2008-03       Impact factor: 4.813

Review 4.  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

5.  Regional age-related effects in the monkey brain measured with 1H magnetic resonance spectroscopy.

Authors:  Itamar Ronen; Xiaoying Fan; Steve Schettler; Sahil Jain; Donna Murray; Dae-Shik Kim; Ronald Killiany; Douglas Rosene
Journal:  Neurobiol Aging       Date:  2009-06-27       Impact factor: 4.673

6.  Regional differences and metabolic changes in normal aging of the human brain: proton MR spectroscopic imaging study.

Authors:  E Angelie; A Bonmartin; A Boudraa; P M Gonnaud; J J Mallet; D Sappey-Marinier
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

7.  Mitochondrial neurogastrointestinal encephalomyopathy in three siblings: clinical, genetic and neuroradiological features.

Authors:  W M M Schüpbach; K Madhavi Vadday; A Schaller; C Brekenfeld; L Kappeler; J F Benoist; C Nguyen-Thi Xuan-Huong; J M Burgunder; F Seibold; S Gallati; H P Mattle
Journal:  J Neurol       Date:  2007-02-09       Impact factor: 4.849

8.  A quantitative analysis of (1)H-MR spectroscopy at 3.0 T of three brain regions from childhood to middle age.

Authors:  Z-Y Yang; Q Yue; H-Y Xing; Q-Y Tan; H-Q Sun; Q-Y Gong; Z-J Tan; H Quan
Journal:  Br J Radiol       Date:  2015-06-17       Impact factor: 3.039

9.  Reproducibility over a 1-month period of 1H-MR spectroscopic imaging NAA/Cr ratios in clinically stable multiple sclerosis patients.

Authors:  J P Mostert; Y Blaauw; M W Koch; A J Kuiper; J M Hoogduin; J De Keyser
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

10.  Low striatal glutamate levels underlie cognitive decline in the elderly: evidence from in vivo molecular spectroscopy.

Authors:  Natalie M Zahr; Dirk Mayer; Adolf Pfefferbaum; Edith V Sullivan
Journal:  Cereb Cortex       Date:  2008-01-29       Impact factor: 5.357

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