Abstract: A system for generating a slicing scheme for slicing a specimen is disclosed. A parameter unit (1) is arranged for determining at least one parameter of a lesion in a specimen, based on an image dataset (14) representing at least part of the specimen. A slicing scheme unit (2) is arranged for determining a slicing scheme (15) for pathologic examination of the specimen, based on the at least one parameter. A specimen preparation unit (3) is arranged for determining a slicing preparation protocol, based on the image dataset, wherein the slicing preparation protocol comprises a representation of preparation steps relating to the specimen. A segmentation unit (5) is arranged for segmenting the lesion in the image dataset (14), wherein the parameter unit (1) is arranged for determining the at least one parameter, based on the segmented lesion.

Abstract: When characterizing a tumor or lesion as malignant or benign, a system (10) receives an image of the lesion volume (50), employs a processor (12) to perform a raw segmentation of the image, the results of which are stored to memory (14). Then processor then executes a hole-filling procedure to fill in dark areas in the image of the lesion representing necrotic tissue that absorbed little or no contrast agent, and optionally a leakage removal procedure to remove image voxels associated with non-lesion tissue, e.g., blood vessels, in which the contrast agent was present during imaging, to generate a complete lesion volume. A voxel analyzer (18) assesses a number of voxels included in the raw segmentation of the lesion image, and the final segmentation (e.g., after filling and optional leakage removal). A segmentation comparator (20) computes a ratio of dark area voxels related to necrotic tissue detected after the raw segmentation to total voxels detected in the final image segmentation.