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Titolo:
Automated separation of gray and white matter from MR images of the human brain
Autore:
Schnack, HG; Pol, HEH; Baare, WFC; Staal, WG; Viergever, MA; Kahn, RS;
Indirizzi:
Univ Utrecht, Med Ctr, Dept Psychiat, NL-3584 CX Utrecht, Netherlands UnivUtrecht Utrecht Netherlands NL-3584 CX 3584 CX Utrecht, Netherlands Univ Utrecht, Med Ctr, Image Sci Inst, NL-3584 CX Utrecht, Netherlands Univ Utrecht Utrecht Netherlands NL-3584 CX 3584 CX Utrecht, Netherlands
Titolo Testata:
NEUROIMAGE
fascicolo: 1, volume: 13, anno: 2001,
pagine: 230 - 237
SICI:
1053-8119(200101)13:1<230:ASOGAW>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAGNETIC-RESONANCE IMAGES; MILD ALZHEIMERS-DISEASE; ADAPTIVE SEGMENTATION; MORPHOMETRIC ANALYSIS; SCHIZOPHRENIA; VOLUME; VALIDATION; CORTEX; AGE;
Keywords:
segmentation; gray matter; white matter; human brain; validation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
45
Recensione:
Indirizzi per estratti:
Indirizzo: Schnack, HG Univ Utrecht, Med Ctr, Dept Psychiat, A01-126,Heidelberglaan 100, NL-3584 CX Utrecht, Netherlands Univ Utrecht A01-126,Heidelberglaan 100Utrecht Netherlands NL-3584 CX
Citazione:
H.G. Schnack et al., "Automated separation of gray and white matter from MR images of the human brain", NEUROIMAGE, 13(1), 2001, pp. 230-237

Abstract

A simple automatic procedure for segmentation of gray and white matter in high resolution 1.5T T1-weighted MR human brain images was developed and validated. The algorithm is based on histogram shape analysis of MR images that were corrected for scanner nonuniformity. Calibration and validation wasdone on a set of 80 MR images of human brains. The automatic method's values for the gray and white matter volumes were compared with the values fromthresholds set twice by the best three of six raters. The automatic procedure was shown to perform as good as the best rater, where the average result of the best three raters was taken as reference. The method was also compared with two Other histogram-based threshold methods, which yielded comparable results. The conclusion of the study thus is that automated threshold based methods can separate gray and white matter from MR brain images as reliably as human raters using a thresholding procedure. (C) 2001 Academic Press.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 18:42:52