Abstract: The method comprising: acquiring, by a two-dimensional camera (7), in a scene, a two dimensional image of at least one object (200); identifying the object (200) within the acquired two dimensional image; calculating, by a first means, the size of a pixel of the object (200) in the acquired and segmented two dimensional image taking into account the distance between the object (200) and the two-dimensional camera (7); and calculating, by a second means, several parameters including at least the size, dimensions, body part dimensions, body features, weight and/or volume of the object (200) by using said calculated size of the pixel and an a priori model of the object (200), wherein said a priori model includes information linking different parts, contours or shapes representative of several objects (200), previously acquired with a two-dimensional camera, with several parameters said several objects (200).

Abstract: The method comprising acquiring and analysing by computer means image information of video sequences of two or more dimensions obtained from contrast-enhanced signals, for example ultrasound, coherence tomography, fluorescence images, or Magnetic Resonance Imaging, of a body part or tissue, for example of an organ, of a living subject; detecting events from said information of video sequences; selecting a Region of Interest of said body part or tissue; computing a first graph representative of a local vascular network of said image information of video sequences in which the edges of the graph are estimated by the temporal relationship among spatially remote signals of said image information of video sequences within a set of video sequences; and using said graph for assessment of vascular networks.