Correlation between a semiautomated method based on ultrasound texture analysis and standard ultrasound diagnosis using white matter damage in preterm neonates as a model

Journal of Ultrasound in Medicine

Volumn 30, Issue 10, 2011, Pages 1365-1377

  Tenorio, Violeta ^a   Bonet Carne, Elisenda ^b,c   Botet, Francesc ^a   Marques, Ferran ^d   Amat Roldan, Ivan ^b,c,e   Gratacos, Eduard ^a,c,e  

^a UNIVERSITY OF BARCELONA   (Spain)

^b Transmural Biotech SL   (Spain)

^c INSTITUT D INVESTIGACIONS BIOMÈDIQUES AUGUST PI I SUNYER IDIBAPS   (Spain)

^d UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^e CENTRO DE INVESTIGACIÓN BIOMÉDICA EN RED DE ENFERMEDADES RARAS CIBERER   (Spain)

Author keywords

Cranial sonography; Neonatal brain; Periventricular leukomalacia; Quantitative imaging biomarker; Sonographic texture; Texture analysis

Indexed keywords

AUTOMATION; COMPUTER AIDED DIAGNOSIS; DAMAGE DETECTION; DIAGNOSIS; STATISTICAL METHODS; ULTRASONIC IMAGING; ULTRASONOGRAPHY;

CLASSIFICATION ALGORITHM; INTEROBSERVER VARIABILITY; LEAVE-ONE-OUT CROSS VALIDATIONS; PERIVENTRICULAR LEUKOMALACIA; QUANTITATIVE IMAGING; QUANTITATIVE ULTRASOUND ANALYSIS; SONOGRAPHIC; TEXTURE ANALYSIS;

ULTRASONIC APPLICATIONS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ECHOENCEPHALOGRAPHY; ECHOGRAPHY; ENCEPHALOMALACIA; FEMALE; GESTATIONAL AGE; HUMAN; MALE; METHODOLOGY; MYELINATED NERVE; NEWBORN; NONPARAMETRIC TEST; PREMATURITY; PROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ECHOENCEPHALOGRAPHY; FEMALE; GESTATIONAL AGE; HUMANS; INFANT, NEWBORN; INFANT, PREMATURE; LEUKOMALACIA, PERIVENTRICULAR; MALE; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; STATISTICS, NONPARAMETRIC;

EID: 80053542973     PISSN: 02784297     EISSN: None     Source Type: Journal    
DOI: 10.7863/jum.2011.30.10.1365     Document Type: Article

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