Assessment of quantitative artificial neural network analysis in a metabolically dynamic ex vivo 31P NMR pig liver study

Magnetic Resonance in Medicine

Volumn 38, Issue 5, 1997, Pages 840-844

  Ala Korpela, Mika ^b,c   Changani, K K ^a,b   Hiltunen, Y ^d   Bell, J D ^b   Fuller, B J ^a   Bryant, David J ^b   Taylor Robinson, S D ^b   Davidson, B R ^a  

^a ROYAL FREE HOSPITAL   (United Kingdom)

^b HAMMERSMITH HOSPITAL   (United Kingdom)

^c UNIVERSITY OF EASTERN FINLAND   (Finland)

^d Raahe Inst of Computer Engineering   (Finland)

Author keywords

Artificial neural network analysis; Automatic data analysis; Ex vivo 31P NMR of liver; Quantification

Indexed keywords

BIOMOLECULES; KNOWLEDGE BASED SYSTEMS; MAGNETIC RESONANCE SPECTROSCOPY; MAMMALS; METABOLITES; NUCLEAR MAGNETIC RESONANCE;

31P-NMR; EX-VIVO; LINE SHAPE; METABOLITE CONCENTRATIONS; PIG LIVER; PRIOR KNOWLEDGE; QUANTIFICATION;

NEURAL NETWORKS;

ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; LIVER; LIVER PERFUSION; MATHEMATICAL ANALYSIS; NONHUMAN; PHOSPHORUS NUCLEAR MAGNETIC RESONANCE; SWINE;

EID: 0030666206     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.1910380522     Document Type: Article

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