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Titolo:
PRECISE SEGMENTATION OF THE LATERAL VENTRICLES AND CAUDATE-NUCLEUS INMR BRAIN IMAGES USING ANATOMICALLY DRIVEN HISTOGRAMS
Autore:
WORTH AJ; MAKRIS N; PATTI MR; GOODMAN JM; HOGE EA; CAVINESS VS; KENNEDY DN;
Indirizzi:
MASSACHUSETTS GEN HOSP,CTR NEUROSCI,CTR MORPHOMETR ANAL CHARLESTOWN MA 02129
Titolo Testata:
IEEE transactions on medical imaging
fascicolo: 2, volume: 17, anno: 1998,
pagine: 303 - 310
SICI:
0278-0062(1998)17:2<303:PSOTLV>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
SCHIZOPHRENIA; MORPHOLOGY; DISORDER;
Keywords:
AUTOMATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; NEUROMORPHOMETRY;
Tipo documento:
Letter
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
24
Recensione:
Indirizzi per estratti:
Citazione:
A.J. Worth et al., "PRECISE SEGMENTATION OF THE LATERAL VENTRICLES AND CAUDATE-NUCLEUS INMR BRAIN IMAGES USING ANATOMICALLY DRIVEN HISTOGRAMS", IEEE transactions on medical imaging, 17(2), 1998, pp. 303-310

Abstract

This paper demonstrates a time-saving, automated method that helps tosegment the lateral ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain images of normal control subjects. The method involves choosing intensity thresholds by using anatomical information and by locating peaks in histograms. To validate the method, the lateral ventricles and caudate nucleus were segmented in three brain scans by four experts, first using an established method involving isointensity contours and manual editing, and second using automatically generated intensity thresholds as an aid to the established method. The results demonstrate both time savings and increased reliability.

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Documento generato il 31/03/20 alle ore 19:44:03