1. Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model

    Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model

    With improvements in acquisition speed and quality, the amount of medical image data to be screened by clinicians is starting to become challenging in the daily clinical practice. To quickly visualize and find abnormalities in medical images, we propose a new method combining segmentation algorithms with statistical shape models. A statistical shape model built from a healthy population will have a close fit in healthy regions. The model will however not fit to morphological abnormalities often present in the areas of pathologies. Using the residual fitting error of the statistical shape model, pathologies can be visualized very quickly. This idea ...

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