1. Computer implemented method for identifying channels in a 3D data volume, said channels being passage-like structures of a 3D object within said 3D data volume, which comprises: a) obtaining a 3D volume of the object 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 object, and termed as: zone S and zone BZ; b) generating zone S and zone BZ patches from, respectively, said at least two sub-volumes; and c) automatically identifying possible channels, in said zone BZ patches, 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, and/or the perimeter points that intersect with the same perimeter of the same zone S patch, before reaching a maximum dilation and lie within a zone BZ patch, and c.3) determining that adjacent candidate channel points (CCP) form a candidate channel region (CCR), wherein the method being applicable to a medical or veterinary field in particular for the automatic detection of channels in internal organs.