Abstract: A treatment planning apparatus comprises a means for receiving a three dimensional representation of a patient, a means for displaying at least a part of the representation, a means for user-designation of sub-regions of the representation, and a computing means adapted to segment the representation into a region within an anatomical structure and a region outside the anatomical structure on the basis of the locations of the sub-regions and the degree of similarity of voxels to neighboring voxels in the representation. The treatment planning apparatus preferably further comprises means for designating sub-regions as being inside the structure, means for designating sub-regions as being outside the structure, and/or means for designating sub-regions as being at a border of the structure. In the latter case, we prefer that the size of border sub-regions is adjustable. The computing means can segment the representation by minimizing a cost function.

Abstract: A treatment planning apparatus comprises a means for receiving a three dimensional representation of a patient, a means for displaying at least a part of the representation, a means for user-designation of sub-regions of the representation, and a computing means adapted to segment the representation into a region within an anatomical structure and a region outside the anatomical structure on the basis of the locations of the sub-regions, the degree of similarity of voxels to neighboring voxels in the representation, and a dataset representing an a priori assumption of the correct segmentation. •The dataset preferably comprises a probability distribution of each pixel being within the segmentation, e.g. obtained from a segmentation of a previous image of the patient, for example by smoothing the previous segmentation. The at least part of the representation comprises one or more sections through the representation, such as axial, sagittal and/or coronal views of the patient.

Abstract: A treatment planning apparatus comprises a means for receiving a three dimensional representation of a patient, a means for displaying at least a part of the representation, a means for user-designation of sub-regions of the representation, and a computing means adapted to segment the representation into a region within an anatomical structure and a region outside the anatomical structure on the basis of the locations of the sub-regions and the degree of similarity of voxels to neighbouring voxels in the representation. The treatment planning apparatus preferably further comprises means for designating sub-regions as being inside the structure, means for designating sub-regions as being outside the structure, and/or means for designating sub-regions as being at a border of the structure. In the latter case, we prefer that the size of border sub-regions is adjustable. The computing means can segment the representation by minimising a cost function.

Abstract: A treatment planning apparatus comprises a means for receiving a three dimensional representation of a patient, a means for displaying at least a part of the representation, a means for user-designation of sub-regions of the representation, and a computing means adapted to segment the representation into a region within an anatomical structure and a region outside the anatomical structure on the basis of the locations of the sub-regions, the degree of similarity of voxels to neighbouring voxels in the representation, and a dataset representing an a priori assumption of the correct segmentation. •The dataset preferably comprises a probability distribution of each pixel being within the segmentation, e.g. obtained from a segmentation of a previous image of the patient, for example by smoothing the previous segmentation. The at least part of the representation comprises one or more sections through the representation, such as axial, sagittal and/or coronal views of the patient.