System and method to improve model-based organ segmentation with image post-processing

An apparatus to improve model-based organ segmentation with image post-processing using one or more processors, comprising:

• one or more processors;
• a display;
• and
• a non-transitory computer readable memory storing instructions executable by the one
• or more processors, wherein the instructions are configured to:
• receive three-dimensional (3D) CT or MR images and the corresponding voxel-by-voxel segmentation results from the output of an automatic DCNN segmentation model;
• analyze the segmentation results on a 3D basis according to organ anatomical information;
• process the results to identify regions with anatomically incorrect segmentations;
• fix the incorrect segmentations;
• analyze the remaining segmentation results on a two-dimensional (2D) and slice-by-slice basis according to predefined organ segmentation criteria;
• identify the start and end slices;
• process the results to remove segmentations beyond the identified slices to obtain the final results.

A non-transitory computer-readable storage medium having stored therein instructions that, when executed by one or more processors of an apparatus causing the apparatus to perform acts comprising:

• receiving three-dimensional (3D) CT or MR images and the corresponding voxel-by-voxel segmentation results as from the output of an automatic DCNN segmentation model;
• analyzing the segmentation results on a 3D basis according to organ anatomical information;
• processing the results to identify regions with anatomically incorrect segmentations;
• fixing the incorrect segmentations;
• analyzing the remaining segmentation results on a two-dimensional (2D) and slice-by-slice basis according to predefined organ segmentation criteria;
• processing the results to identify slices with anatomically incorrect segmentations;
• identifying the start and end slices;
• processing the results to remove segmentations beyond the identified slices to obtain the final results.