Abstract: A method for isolating a potential anomaly in imaging data comprising: providing a set of at least one given anomaly property representative of a given anomaly; providing a anomaly property identifier for identifying each of the at least one given anomaly property; in the imaging data, isolating a first zone having a first property and a group of at least one other zone, each of the at least one other zone having a corresponding property different than the first property; in the imaging data, and resulting from the isolation of a first zone and a group of at least one other zone, providing a transition zone selected from a group consisting of: a closed zone separating the first zone and the group of at least one other zone; and a closed zone extending in one of the first zone and the group of at least one other zone; applying the anomaly property identifier for identifying each of the at least one given anomaly property on at least the transition zone for providing a computed indication for a selected zone, t

Abstract: A method for isolating a potential anomaly in imaging data is disclosed, the method comprising providing a set of at least one given anomaly property representative of a given anomaly; providing a anomaly property identifier for identifying each of the at least one given anomaly property; in the imaging data, isolating a first zone having a first property and a group of at least one other zone, each of the at least one other zone having a corresponding property different than the first property; in the imaging data, and resulting from the isolation of a first zone and a group of at least one other zone, providing a transition zone selected from a group consisting of: a closed zone separating the first zone and the group of at least one other zone; and a closed zone extending in one of the first zone and the group of at least one other zone; applying the anomaly property identifier for identifying each of the at least one given anomaly property on at least the transition zone for providing a computed indicatio

Abstract: A method for determining an estimation of a topological support of a tubular based structure comprising an inner wall and a plurality of distinct regions, the method comprising (a) obtaining image data representative of the tubular based structure; (b) placing an initial seed in an initial region selected from one of the distinct regions; (c) performing an initial region growing until an initial resulting area comprises at least a portion of the inner wall and at least a portion of a neighboring region corresponding to one of the distinct regions; (d) starting a tree comprising an initial tree node corresponding to the initial region; (e) for each neighboring region: placing a subsequent seed in the neighboring region; performing a corresponding subsequent region growing until a subsequent resulting area comprises at least a portion of the inner wall and at least a portion of an additional neighboring region; and adding a tree node corresponding to the neighboring region in the tree; (f) performing processing