Nonlinear filtering of magnetic resonance tomograms by geometry-driven diffusion

Machine Vision and Applications

Volumn 10, Issue 5-6, 1998, Pages 243-255

  Bajla, Ivan ^a,c,d,e,f   Holländer, Igor ^a,b,c,d,g  

^a INSTITUTE OF MEASUREMENT SCIENCE   (Slovakia)

^b ERICH SCHMID INSTITUTE OF MATERIALS SCIENCE   (Austria)

^c INSTITUTE OF CHEMISTRY   (Slovakia)

^d Physics and Informatics   (Slovakia)

^e JOINT INSTITUTE FOR NUCLEAR RESEARCH   (Russian Federation)

^f Institute of Measurement Science SAS   (Slovakia)

^g SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

Author keywords

Geometry driven diffusion; Image discriminability measures; Image segmentation; Magnetic resonance imaging; Nonlinear image filtering

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; SIGNAL TO NOISE RATIO;

GEOMETRY DRIVEN DIFFUSION (GDD); MAGNETIC RESONANCE (MR) TOMOGRAMS; NONLINEAR IMAGE FILTERING;

SIGNAL FILTERING AND PREDICTION;

EID: 0031701407     PISSN: 09328092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001380050076     Document Type: Article

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