Performance evaluation system for automated lung segmentation system using HRCT Thorax images

Segmentation is an important process especially in a Computer Aided Diagnosis (CADx) system. There are various methods of segmentation. A large majority of these involve a threshold based approach. For this study full HRCT Thorax scans from 10 normal patients were analysed. This study proposes a performance evaluation system for segmentation system. The performance evaluation uses five measures which are Jaccard´s Index, Hausdorff Distance, Area Error, and Relative Volume Difference. A segmentation system previously developed for a limited five HRCT thorax segmentation system called ALSS was evaluated using the proposed system. The results from all performance measures showed that the segmentation system was consistent and was able to segment accurately across all the slices of the thorax.