Computer implemented method for identifying myocardium conductive channels in a 3D data volume, the method comprising: a) obtaining a 3D volume of a heart containing, directly or on a sub-volume isolated therefrom, at least two different data sub-volumes identified based on physical parameter values representative of physical properties of said heart, and termed as: zone S and zone BZ; and b) generating zone S and zone BZ patches from, respectively, said at least two sub-volumes; characterised in that : the method is performed using a layered approach, in which said patches generation are performed by: b.1) defining a series of layers representing sections of at least part of the 3D volume or of said sub-volume isolated therefrom, said layers being polygonal meshes; and b.2) generating patches regarding zone S and zone BZ, from the intersection of the at least two sub-volumes with the layers, defined at b.1), interpolated therein; and in that the method further comprises: c) automatically identifying possible myocardium conductive channels, in said zone BZ patches, bi-dimensionally on at least one of the defined layers, by means of automatically obtaining candidate channels regions, as follows: c.1) dilating at least the perimeters of the zone S patches; c.2) considering as candidate channel points (CCP) the perimeter points that intersect the perimeter of adjacent zone S patches, before reaching a maximum dilation, and that lie within a zone BZ patch, and c.3) determining that adjacent candidate channel points (CCP) form a candidate channel region (CCR). a) obtaining a 3D volume of a heart containing, directly or on a sub-volume isolated therefrom, at least two different data sub-volumes identified based on physical parameter values representative of physical properties of said heart, and termed as: zone S and zone BZ; and b) generating zone S and zone BZ patches from, respectively, said at least two sub-volumes; characterised in that : the method is performed using a layered approach, in which said patches generation are performed by: b.1) defining a series of layers representing sections of at least part of the 3D volume or of said sub-volume isolated therefrom, said layers being polygonal meshes; and b.2) generating patches regarding zone S and zone BZ, from the intersection of the at least two sub-volumes with the layers, defined at b.1), interpolated therein; and in that the method further comprises: b.1) defining a series of layers representing sections of at least part of the 3D volume or of said sub-volume isolated therefrom, said layers being polygonal meshes; and b.2) generating patches regarding zone S and zone BZ, from the intersection of the at least two sub-volumes with the layers, defined at b.1), interpolated therein; and in that the method further comprises: c) automatically identifying possible myocardium conductive channels, in said zone BZ patches, bi-dimensionally on at least one of the defined layers, by means of automatically obtaining candidate channels regions, as follows: c.1) dilating at least the perimeters of the zone S patches; c.2) considering as candidate channel points (CCP) the perimeter points that intersect the perimeter of adjacent zone S patches, before reaching a maximum dilation, and that lie within a zone BZ patch, and c.3) determining that adjacent candidate channel points (CCP) form a candidate channel region (CCR). c.1) dilating at least the perimeters of the zone S patches; c.2) considering as candidate channel points (CCP) the perimeter points that intersect the perimeter of adjacent zone S patches, before reaching a maximum dilation, and that lie within a zone BZ patch, and c.3) determining that adjacent candidate channel points (CCP) form a candidate channel region (CCR). <EOS>