Abstract: A communication system includes at least two mobile parts (1, 2), each of which is paired with a transceiver (5) in order to directly communicate with each other. The transceiver (5) communicates with a computer (6) and with a storing unit (7) in which at least two personality profiles (8) to be individually generated can be stored. A respective first personality profile (8) that corresponds to a first desired profile (10) of the user of the corresponding mobile part (1, 2), the desired profile describing a person is transmitted, and an additional personality profile (8) that corresponds to a desired profile (10) of the user of an additional mobile part (1, 2), said desired profile describing a person, is received. Each received desired profile is compared with a personality profile (8) that corresponds to a self profile (9) which describes the user of the corresponding mobile part (1, 2).

Abstract: Method for automatic processing and evaluation of images, particularly diagnostic images, comprising an image processing tool in the form of a software program which is executable by the computer hardware and which image processing tool processes image data of a digital input image generating a modified digital output image whose image data are outputted in a graphical and/or alphanumerical format highlighting certain predetermined features or qualities of the corresponding regions of an imaged body or object, characterized in that the image processing tool comprises a first image detecting module which is an image processing module based on image processing non expert algorithms and which furnishes at its output a modified image file which modified image data are further processed by a classification or evaluation module which is a second image processing module comprising an image processing tool consisting in an expert image processing algorithm such as a classification or prediction algorithm the output o

Abstract: A method of registering biomedical images to reduce imaging artifacts caused by object movement is disclosed, wherein a certain number of features or landmarks is automatically defined and tracked in a first and second image to be registered to determine the optical flow vector between the first and second image. Registration then takes place by applying the inverse optical flow to the second image. The automatic feature selection step is carried out by determining the mean signal intensity in a defined neighborhood for every pixel, which mean signal intensity is then compared to a predetermined threshold. If the mean signal intensity value of said neighborhood is higher than the predetermined threshold the pixel is defined as a feature and is added to a list of features to be tracked.

Abstract: Method for automatic processing and evaluation of images, particularly diagnostic images, comprising an image processing tool in the form of a software program which is executable by the computer hardware and which image processing tool processes image data of a digital input image generating a modified digital output image whose image data are outputted in a graphical and/or alphanumerical format highlighting certain predetermined features or qualities of the corresponding regions of an imaged body or object, characterized in that the image processing tool comprises a first image detecting module which is an image processing module based on image processing non expert algorithms and which furnishes at its output a modified image file which modified image data are further processed by a classification or evaluation module which is a second image processing module comprising an image processing tool consisting in an expert image processing algorithm such as a classification or prediction algorithm the output o

Abstract: In a method for registering biomedical images such as at least a first and a second digital or digitalized image or set of cross-sectional images of the same object, within the first image or set of images a certain number of landmarks, so called features are individuated by selecting a certain number of pixels or voxels. The position of each pixel or voxel selected as a feature is tracked from the first to the second image or set of images by determining the optical flow vector from the first to the second image or set of images for each pixel or voxel selected as a feature. Registration of the first and second images or set of images is carried out by applying the inverse optical flow to the pixels or voxels of the second image or set of images.