Feasibility and reproducibility of neurochemical profile quantification in the human hippocampus at 3T

NMR in Biomedicine

Volumn 28, Issue 6, 2015, Pages 685-693

  Bednařík, Petr ^a,b,c   Moheet, Amir ^b   Deelchand, Dinesh K ^a   Emir, Uzay E ^a,f   Eberly, Lynn E ^d   Bareš, Martin ^c,e   Seaquist, Elizabeth R ^b   Öz, Gülin ^a  

^a UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c MASARYK UNIVERSITY   (Czech Republic)

^d UNIVERSITY OF MINNESOTA   (United States)

^e ST ANNE S UNIVERSITY HOSPITAL   (Czech Republic)

^f UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

3T; Coefficient of variation; Human hippocampus; Metabolites; MRS; Quantification precision; Reproducibility; Segmentation

Indexed keywords

BIOCHEMISTRY; BIOMOLECULES; BRAIN; CLINICAL RESEARCH; IMAGE SEGMENTATION; NEURODEGENERATIVE DISEASES; NEUROLOGY; SENSITIVITY ANALYSIS; SIGNAL TO NOISE RATIO;

COEFFICIENT OF VARIATION; COEFFICIENTS OF VARIATIONS; HUMAN HIPPOCAMPUS; INTER-INDIVIDUAL DIFFERENCES; METABOLITE CONCENTRATIONS; NEUROPSYCHIATRIC DISORDER; QUANTIFICATION PRECISION; REPRODUCIBILITIES;

METABOLITES;

CHOLINE; CREATINE; GLUCOSE; GLUTAMIC ACID; GLUTATHIONE; INOSITOL; N ACETYLASPARTIC ACID; NEUROTRANSMITTER; BIOPOLYMER;

ADULT; ARTICLE; FEASIBILITY STUDY; FEMALE; HIPPOCAMPUS VOLUME; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MALE; METABOLITE; NERVOUS SYSTEM PARAMETERS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; SIGNAL NOISE RATIO; THREE DIMENSIONAL IMAGING; ALGORITHM; ANATOMY AND HISTOLOGY; HIPPOCAMPUS; METABOLISM; MOLECULAR IMAGING; PROCEDURES; PROTON NUCLEAR MAGNETIC RESONANCE; SENSITIVITY AND SPECIFICITY; TISSUE DISTRIBUTION;

ADULT; ALGORITHMS; BIOPOLYMERS; FEASIBILITY STUDIES; FEMALE; HIPPOCAMPUS; HUMANS; MALE; MOLECULAR IMAGING; PROTON MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TISSUE DISTRIBUTION;

EID: 84929276614     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.3309     Document Type: Article

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