Tissue Characterization by Image Analysis for Diagnostic PurposesJoo Sanchesjmrs@ist.utl.ptInstitute for Systems and RoboticsInstituto Superior Tcnico

NoiseDifferent Biomedical Image Modalities present different types of noise, e.g., additive or multiplicative.Usually, the noise should be removed.CTMRILSFCMUS

SpeckleUltrasound images usually present low quality (low SNR)Images are corrupted by speckle noise (multiplicative) Processed by Jos Seabra (Biomedical PhD student)

Medical InformationHowever, the speckle pattern contains relevant medical information, e.g., fatty Liver.

GoalDecompose the image in textural and anatomical/morphological components.Characterize the texture/noise (speckle)Associate the texture characteristics with the disease.Classification and Quantification to Detect (Diagnosis) and Quantify (Severity Assessment) the disease.

DecompositionNoisy Synthetic ImageNoiseless ImageNoise Field

Classification

Decomposition Examples

Noise Analysis for Diagnostic PurposesTwo Cases Liver SteatosisAtherosclerotic Plaques (carotids and coronaries)

SteatosisSteatosis is mainly a textural abnormality of the hepatic parenchyma due to fat accumulation on the hepatic vesicles (genetic, alcohol and obesity) Today, the assessment is subjectively performed by visual inspection

SteatosisComparison with histological data

Steatosis CharacterizationIntensity Decay (m)Texture (Ev,Eh)

DiagnosisProcessed by Ricardo Ribeiro (Biomedical PhD student)

Atherosclerotic Plaques

3D DiagnosisGlobal and local analysis

IVUS

IVUSCollaboration with the Centre de Visi per Computador, Universitat Autnoma de Barcelona, Prof Petia Radeva

IVUSIVUS Image decomposition

IVUSAutomatic classificationGT

Present and Future WorkNew texture characterization and classification methods Aterosclerotic plaques: 3D Extension of the IVUS Liver steatosis quantification with additional information from laboratorial analysis data.