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Titlebook: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging; Second International Bjoern H. Menze,Georg Langs,Anton

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Carotid Artery Wall Segmentation by Coupled Surface Graph Cutsents show good agreement between manual segmentation performed by an expert and our method. The mean relative area of overlap is more than 85% for both lumen and outer vessel wall. In addition, differences in measured wall thickness with respect to the manual annotations were smaller than the in-plane pixel size.
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Novel Context Rich , and , Features with Local and Global Shape Constraints for Segmentation of 3D Epect to a number of landmarks on the epicardial and endocardial border. The landmarks are found using a new measure (COFA) to separate the two boundaries. Experimental results show that the new features provide a smoother segmentation and improve the accuracy compared with a classic RF implementation.
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Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distanceto medical data, given by 13 PET-CT data sets of mice, and quantitatively compared to manually drawn VOIs. An average Dice coefficient of 0.73 ± 0.10 for the left ventricle, 0.88 ± 0.05 for the bladder, and 0.76 ± 0.07 for the kidneys shows the high accuracy of our method.
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Context Enhanced Graphical Model for Object Localization in Medical Imagesences. Successful applications on two different medical imaging applications – lesion dissimilarity on thoracic PET-CT images and cell segmentation on microscopic images – are demonstrated in the experimental results.
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