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Model-Based Analysis of Biomedical Images

This research at University of Manchester & AstraZeneca focuses on cartilage thickness mapping in knee osteoarthritis using model-based segmentation for accurate analysis. Learn about statistical models, population analysis, & anatomical knowledge application in drug development.

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Model-Based Analysis of Biomedical Images

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  1. Model-Based Analysis of Biomedical Images Application to Cartilage Thickness Measurement in Drug Development

  2. University of Manchester AstraZeneca Pharmaceuticals iMorphics Ltd Medical Image and Signal IRC

  3. 3D MR Images of the Knee

  4. Cartilage Loss in Osteoarthritis • Degeneration of cartilage in disease • Analysis using cartilage thickness maps Cartilage thickness map

  5. Aims of Image Analysis • Extract structures of interest (automatically) • segmentation of bone, cartilage … • requires anatomical knowledge • Construct cartilage thickness maps • stable measurement frame for each individual • common reference frame for population analysis

  6. Model-Based Segmentation • Parameterised statistical models of anatomy Model of femur Using the model to segment the femur

  7. Learning the Model • Statistical analysis of corresponding point-sets • Correspondence by optimisation Minimising model complexity

  8. Obtaining a Thickness Map • Bone provides stable measurement frame • Cartilage thickness mapped to bone surface

  9. Population Analysis • Model correspondences provide common frame • Population results displayed on average femur Average thickness map

  10. Summary • Quantitative analysis of 3D medical images • Statistical models of anatomy • optimisation with respect to correspondence • model-based segmentation • Cartilage thickness maps relative to bone • Population analysis in average bone frame

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