A general geometrical framework for image processing is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a two dimensional surface in t...
Abstract. Some medical interventions require knowing the correspondence between an MRI/CT image and the actual position of the patient. Examples are in neurosurgery or radiotherapy...
Fabienne Betting, Jacques Feldmar, Nicholas Ayache...
We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
Dynamic volumetric (four dimensional- 4D) medical images are typically huge in file size and require a vast amount of resources for storage and transmission purposes. In this pape...
Victor Sanchez, Panos Nasiopoulos, Rafeef Abugharb...
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...