6533b856fe1ef96bd12b3276

RESEARCH PRODUCT

A Gabor-based Technique for Bias Removal in MR images

Edoardo ArdizzoneRoberto PirroneOrazio GambinoM. Mastrella

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtifact (error)rf-inhomogeneity bias artifact mribusiness.industryAttenuationFeature extractionReproducibility of ResultsSignal Processing Computer-AssistedImage EnhancementMagnetic Resonance ImagingSensitivity and SpecificitySignalSample (graphics)LuminanceGabor filterImage Interpretation Computer-AssistedComputer visionArtificial intelligenceArtifactsbusinessAlgorithmsImage restorationMathematics

description

Magnetic Resonance images are often characterized by irregularly displaced luminance fluctuations that are called bias artifact. This disturb is due to a drop in signal intensity caused by the distance between imaged sample and receiver coil. An original approach to bias removal in Magnetic Resonance images is presented, which is based on the use of Gabor filter to extract the artifact. The proposed technique restores the image using a correction model, which is derived from the attenuation of signal diffusion across the tissues. No hypotheses are made about the structure of the tissues under investigation and the used MR spectrum. The approach is presented in detail, and extensive experimental results are reported along with a comparison with other popular techniques for bias removal.

yearjournalcountryeditionlanguage
2007-11-16
10.1109/iembs.2007.4352539http://hdl.handle.net/10447/5782