A device and a method for obtaining densitometric images which comprise at least one radiological device, at least one depth sensor, and image processing means, which combine the radiological absorption information from the set of recorded radiological images obtained with the radiological systems with the distances of the traversed material, provided by the three-dimensional reconstruction of the objects obtained by means of the depth sensors.

A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, the object, and a radiation detector and wherein a digital representation of the radiation image of the object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of the projection images being generated by integrating X-ray beams continuously emitted during the relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.

Methods and systems for visualizing, simulating, modifying and/or 3D printing objects are provided. The system is an end-to-end system that can take as input 3D objects and allow for various levels of user intervention to produce the desired results.

A system for characterizing the material of an object scanned via a dual-energy computed tomography scanner is provided. The system generates photoelectric and Compton sinograms based on a photoelectric-Compton decomposition of low-energy and high-energy sinograms generated from the scan and based on a scanner spectral response model. The system generates a Compton volume with Compton attenuation coefficients from the Compton sinogram and a photoelectric volume with photoelectric attenuation coefficients from the photoelectric sinogram. The system generates an estimated effective atomic number for a voxel and an estimated electron density for the voxel from the Compton attenuation coefficient and photoelectric coefficient for the voxel and scanner-specific parameters. The system then characterizes the material within the voxel based on the estimated effective atomic number and estimated electron density for the voxel. This information can be used to provide a mapping of known effective atomic numbers and known electron densities to known materials.

Disclosed is a method for restoring a scan image. The method includes the steps of: measuring a blurring function oversampled with respect to a slit image obtained through a slit inclined at a predetermined angle in a vertical or horizontal direction according to the predetermined angle; and restoring a scan image to increase a resolution of an interface of a subject in the scan image obtained by obtaining the subject using the measured blurring function. Computed tomography (CT) that applies image restoration by increasing sampling can secure a precise image for computer-aided design (CAD)/computer-aided manufacturing (CAM) additionally used in a system used when actually diagnosing a patient, and thus does not require additional expenses and equipment.

A method is disclosed for determining result data based upon medical measurement data of an examination object. Within the method, a high-dimensional first parameter space is formed, in which measurement values of the various measurements are represented with the aid of value tuples. The measurement values of the various measurements are assigned to a value tuple based on their spatial arrangement in the examination object and/or on their temporal arrangement relative to one another. In the first parameter space, the value tuples are analyzed, using at least one mapping function to at least one further parameter space including a lower dimension than the first parameter space, in order to obtain result data. Furthermore, the result data is output, preferably visualized. In addition, a corresponding device for determining result ata is described.

A method for generating a personalized scaffold for an individual includes acquiring images of an anatomy of interest corresponding to an intended scaffold location and acquiring test results related to the anatomy of interest. One or more functional specifications are generated based on the images and test results and one or more scaffold parameters are selected based on the functional specifications. A final scaffold may then be generated using the one or more scaffold parameters.

An imaging system includes an x-ray or gamma ray source that emits an x-ray or gamma ray beam, a tunnel having a plurality of detectors, and a translatable platform. The detectors each receive a portion of the beam. The translatable platform supports cargo or a transported container and moves through the tunnel so that the cargo or transported container crosses the portions of the beam received by the detectors. The translatable platform may rotate and move through the tunnel at multiple angles. The imaging system may also include a computer and a graphical interface. The computer may receive information collected by the detectors and may reconstruct a three-dimensional image of the cargo or transported container. The graphical interface may display the three-dimensional image or information derived from the three-dimensional image. According to other embodiments, a system for creating a three-dimensional image may receive data from a wide vertical beam angle and generate and output a three-dimensional model.

Methods and systems are provided for identifying motion in medical images. In one example, a method includes obtaining projection data of an imaging subject, reconstructing a first image of a location of the imaging subject from the projection data using a first reconstruction technique and reconstructing a second image corresponding to the same location of the imaging subject from the of projection data using a second reconstruction technique, different than the first reconstruction technique in terms of temporal sensitivity, calculating an inconsistency metric quantifying temporal inconsistencies between the first image and the second image, and taking an action based on the inconsistency metric.

A method for generating a personalized scaffold for an individual includes acquiring images of an anatomy of interest corresponding to an intended scaffold location and acquiring test results related to the anatomy of interest. One or more functional specifications are generated based on the images and test results and one or more scaffold parameters are selected based on the functional specifications. A final scaffold may then be generated using the one or more scaffold parameters.