A neural network approach for image reconstruction in electron magnetic resonance tomography

Computers in Biology and Medicine

Volumn 37, Issue 10, 2007, Pages 1492-1501

  Durairaj, D Christopher ^a   Krishna, Murali C ^b   Murugesan, Ramachandran ^c  

^a VHNSN COLLEGE   (India)

^b NATIONAL CANCER INSTITUTE   (United States)

^c MADURAI KAMARAJ UNIVERSITY   (India)

Author keywords

Artificial neural networks; Back propagation; Electron magnetic resonance tomography; Filtered back projection; Image reconstruction; Multiplicative algebraic reconstruction technique

Indexed keywords

FILTERED BACK PROJECTION (FBP); PHANTOMS; PROJECTION DATA; SINOGRAMS;

ALGEBRA; BACKPROPAGATION ALGORITHMS; ITERATIVE METHODS; MAGNETIC RESONANCE; NEURAL NETWORKS; TOMOGRAPHY;

IMAGE RECONSTRUCTION;

FREE RADICAL;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; ELECTRON SPIN RESONANCE; IMAGE RECONSTRUCTION; IN VIVO STUDY; PRIORITY JOURNAL;

ALGORITHMS; ANIMALS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MICE; MICE, INBRED C3H; NEURAL NETWORKS (COMPUTER); PHANTOMS, IMAGING; SOFTWARE DESIGN; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34547587941     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2007.01.010     Document Type: Article

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