Abstract: A device and an according method for multispectral optoacoustic imaging of an object is provided comprising: an irradiation unit configured to irradiate the object with electromagnetic radiation at two or more different irradiation wavelengths the electromagnetic radiation having a time-varying intensity; a detection unit configured to detect acoustic waves generated in the object upon irradiating the object with the electromagnetic radiation at the different irradiation wavelengths; and a processing unit configured to reconstruct images of the object based on the detected acoustic waves generated in the object at each of the irradiation wavelengths and to determine a spatial distribution of at least one first concentration value, which relates to a concentration of at least one electromagnetic radiation absorber in the object.

Abstract: A method and system for device detection in a 2D medical image. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.

Abstract: A method and system for device detection in a 2D medical image is disclosed. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.