Contrast-independent liver-fat quantification from spectral CT exams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 324-331

  Mendonça, Paulo R S ^a   Lamb, Peter ^a   Kriston, Andras ^b   Sasaki, Kosuke ^c   Kudo, Masayuki ^c   Sahani, Dushyant V ^d  

^a GE GLOBAL RESEARCH   (United States)

^b GE HEALTHCARE   (United Kingdom)

^c GE HealthCare Japan   (Japan)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE QUANTIFICATIONS; CLINICAL PRACTICES; CONTRAST-ENHANCED CT; FATTY LIVER DISEASE; HIGHLY ACCURATE; IMAGE-BASED METHODS; LIVER BIOPSIES; SAMPLING ERRORS;

DIAGNOSIS; HOSPITAL DATA PROCESSING;

COMPUTERIZED TOMOGRAPHY;

CONTRAST MEDIUM;

ADIPOSE TISSUE; ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FATTY LIVER; HUMAN; IMAGE QUALITY; LIVER; METHODOLOGY; OBESITY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADIPOSE TISSUE; ADIPOSITY; ALGORITHMS; CONTRAST MEDIA; FATTY LIVER; HUMANS; LIVER; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84885725884     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_41     Document Type: Conference Paper

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