Knee cartilage segmentation using active shape models and contrast enhancement from magnetic resonance images

摘要

In this paper, we take advantage from contrast characteristics of our magnetic resonance images improving the performance of Active Shape Models (ASM) applied on knee cartilage segmentation. We perform an image fusion-based contrast enhancement method using time series MRI T2. Then, we apply ASM algorithm and we compare results with ASM without contrast enhancement. The results show that the ASM with contrast enhancement performs better and is consistent. We validate these results using Dice coefficient and Hausdorff distance.