Abstract: A method for monitoring a subject, includes: capturing high-bandwidth data pertaining to the subject; cyclically storing a recent portion of the high-bandwidth data in a first memory; monitoring one or more physiological signals of the subject; analyzing the monitored physiological signals to allow detection of one or more target events; upon detection of a target event: copying a then recent portion of the high-bandwidth data from the first memory to a second memory; and storing high-bandwidth captured in a predetermined period subsequent to the detection in the second memory. The one or more physiological signals include EEG. The one or more target events include epileptic seizures. A computer program product and a system may use the method.

Abstract: A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.

Abstract: A gray value model is generated encoding photometric knowledge at landmark positions. This step exploits intensity correlation in neighborhoods sampled around landmark positions. A geometric model is generated encoding geometric knowledge between landmarks. This step exploits spatial correlation between landmarks of segmented anatomic entities.

Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.

Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.

Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.

Abstract: A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.