Abstract: A method, system and computer programs for computing simultaneous rectilinear paths using medical images are disclosed. The method comprises receiving a 3D medical image comprising voxels representing a volume of an anatomical region of a patient and a preliminary path determined by two points traversing said 3D medical image, wherein said 3D medical image has segmented therein at least one area of interest, the preliminary path comprising a security zone with a given distance; computing a distance map of said area of interest and mapping its voxels to a first value or to a second value depending on a distance threshold, the latter being equal to said given distance of the security zone; selecting the voxels having said second value and projecting them using a frustum that projects the preliminary path onto a single point, to obtain a 2D projected image that includes a plurality of rectilinear paths.

Abstract: A method, system and computer programs for computing simultaneous rectilinear paths using medical images are disclosed. The method comprises receiving a 3D medical image comprising voxels representing a volume of an anatomical region of a patient and a preliminary path determined by two points traversing said 3D medical image, wherein said 3D medical image has segmented therein at least one area of interest, the preliminary path comprising a security zone with a given distance; computing a distance map of said area of interest and mapping its voxels to a first value or to a second value depending on a distance threshold, the latter being equal to said given distance of the security zone; selecting the voxels having said second value and projecting them using a frustum that projects the preliminary path onto a single point, to obtain a 2D projected image that includes a plurality of rectilinear paths.

Abstract: A method for calculating values indicative for the local spatial structure of conducting properties of heart muscle tissue. The method uses a continuous ROI where there may exist a CC, each point of the ROI being associated with a value of a given spatial distribution. The method for each one of the points: spans rays within the ROI in multiple 3-D directions using coordinates of a reference coordinate system of each point, providing a structure with a plurality of rays with a given geometry; defines a sequence of sampling points on each ray of said structure; maps the value of the spatial distribution on each defined sampling point of each ray of the structure; classifies each ray of the structure by assigning a single value, providing an associated ray value; and reduces each structure to a single point value in view of said geometry and their associated ray value.

Abstract: A method, system and computer program are provided for determining the porosity of a flexible porous structure when it is subjected to deformation. The method performs the following steps by processing representative data of the flexible porous structure: a) generates a first function (Fs) defining how the flexible porous structure changes shape when it is subjected to deformation; b) generates a second function (Fp) defining how a covered surface of the flexible porous structure changes when it is subjected to changes in shape, wherein the second function (Fp) is directly linked with porosity of the flexible porous structure; c) obtains reference porosity values of a reference region (CU-R) of the flexible porous structure in a reference configuration via the first function (Fs); and d) calculates the porosity of at least one deformed region (CU-D) of the flexible porous structure, from said reference porosity values and from the second function (Fp).

Abstract: The method comprises identifying, in a 3D volume, a zone of a first type (H), a zone of a second type (BZ) and a zone of a third type (C) and: —automatically identifying as a candidate channel (bz) a path running through the zone of a second type (BZ) and extending between two points of the zone of a first type (H); and—automatically performing, on a topological space (H_and_BZ_topo), homotopic operations between the candidate channel (bz) and paths (h) running only through the zone of a first type (H), and if the result of said homotopic operations is that the candidate channel (bz) is not homotopic to any path running only through the zone of a first type (H) identifying the candidate channel (bz) as a constrained channel. The computer program product implements the steps of the method of the invention.

Abstract: A method for calculating values indicative for the local spatial structure of conducting properties of heart muscle tissue. The method uses a continuous ROI where there may exist a CC, each point of the ROI being associated with a value of a given spatial distribution. The method for each one of the points: spans rays within the ROI in multiple 3-D directions using coordinates of a reference coordinate system of each point, providing a structure with a plurality of rays with a given geometry; defines a sequence of sampling points on each ray of said structure; maps the value of the spatial distribution on each defined sampling point of each ray of the structure; classifies each ray of the structure by assigning a single value, providing an associated ray value; and reduces each structure to a single point value in view of said geometry and their associated ray value.

Abstract: The method comprises performing the following steps by means of processing representative data of the flexible porous structure: a) generating a first function (Fs) defining how the flexible porous structure changes shape when it is subjected to deformation; b) generating a second function (Fp) defining how a covered surface of the flexible porous structure changes when it is subjected to changes in shape; c) obtaining, by means of said function (Fs), reference porosity values of a reference region (CU-R) of the flexible porous structure in a reference configuration; and d) calculating the porosity of at least one deformed region (CU-D) of the flexible porous structure, from said reference porosity values and from said second function (Fp).

Abstract: The methods comprise: a) obtaining a 3D volume of the object containing two different sub-volumes identified as: well-defined zone (S) and not-well-defined zone (BZ) sub-volumes; b) generating well-defined zone (S) and not-well-defined zone (BZ) patches from the two sub-volumes; c) automatically identifying the possible channels by means of automatically obtaining candidate channels regions (CCR), dilating the perimeters of the well-defined zone (S) patches. The method includes embodiments for a layered approach, an EAM polygonal mesh approach and a volume approach. The computer program product is adapted to implement part or all of the steps of the method of the invention. The EAM system comprises computing navigation means implementing the method of the invention.

Abstract: The method comprises identifying, in a 3D volume, a zone of a first type (H), a zone of a second type (BZ) and a zone of a third type (C) and:—automatically identifying as a candidate channel (bz) a path running through the zone of a second type (BZ) and extending between two points of the zone of a first type (H); and—automatically performing, on a topological space (H_and_BZ_topo), homotopic operations between the candidate channel (bz) and paths (h) running only through the zone of a first type (H), and if the result of said homotopic operations is that the candidate channel (bz) is not homotopic to any path running only through the zone of a first type (H) identifying the candidate channel (bz) as a constrained channel. The computer program product implements the steps of the method of the invention.

Abstract: The methods comprise: a) obtaining a 3D volume of the object containing two different sub-volumes identified as: well-defined zone (S) and not-well-defined zone (BZ) sub-volumes; b) generating well-defined zone (S) and not-well-defined zone (BZ) patches from the two sub-volumes; c) automatically identifying the possible channels by means of automatically obtaining candidate channels regions (CCR), dilating the perimeters of the well-defined zone (S) patches. The method includes embodiments for a layered approach, an EAM polygonal mesh approach and a volume approach. The computer program product is adapted to implement part or all of the steps of the method of the invention. The EAM system comprises computing navigation means implementing the method of the invention.

Abstract: One embodiment of the present invention includes a system comprising an input interface having at least 3 degrees of spatial freedom for input control; and a diffusion tensor imaging (DTI) module operable with the input interface having at least 3 degrees of spatial freedom. In one embodiment, the DTI module is operable to compute fiber bundles. The module is further operable to identify one or more 3D regions of interests (ROIs) in a reference volume, and compute or identify the fiber bundles passing through one or more 3D ROIs. In one embodiment, the system support displaying a 3D stereoscopic image of the fiber bundles passing through a 3D ROI.