Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.

The present invention relates to a method for producing complex reality three-dimensional images and a system for same, the method comprising: (a) a step for determining first reality three-dimensional spatial coordinates for a three-dimensional image of a human body; (b) a step for determining second reality three-dimensional spacial coordinates for an image of an item of medical equipment; (c) a step for obtaining a three-dimensional image of the area surrounding the medical equipment, from an imaging means in the medical equipment, and determining third reality three-dimensional spatial coordinates for said image; (d) a step for examining an image that is at the same coordinates in the three kinds of three-dimensional spatial coordinates; and (e) a step for producing a complex reality three-dimensional image by selecting the one image that is at the same coordinates, if there is one image at the same coordinates, or selecting the necessary image or images from among a plurality of images, if there are multiple images at the same coordinates.

A contrast-enhanced digital tomosynthesis system with a source configured to emit penetrating particles toward an object, a detector configured to acquire a series of projection images of the object in response to the penetrating particles from the source, a positioning apparatus configured to position the source relative to the object and the detector, and an imaging system coupled to the source, the detector, and the positioning apparatus. The imaging system is configured to control the positioning apparatus to position the source and detector relative to the object, control the source and the detector to acquire the series of projection images, and construct a tomographic volume capable of exhibiting super-resolution morphology and contrast-enhancement arising from injection of an exogenous contrast agent from data representing the acquired series of projection images or a subset thereof.

A patient table comprises: a curved base plate, a support face arranged over the curved base plate's concave side, a planar table top removable placed over the support face surface and the planar table top having a flat support surface opposite form the support face; the planar table top being contiguous to the support face. In particular in the patient table assembly with longitudinal sides (a) longitudinal groove(s) are provided along one or both the longitudinal sides in the flat support surface and at the longitudinal groove(s) indentations, in particular notches, are provided in the flat support surface and transverse to the groove(s).

A medical imaging apparatus is provided. The medical image apparatus includes an output unit; and a controller configured to control the output unit to display an image obtained by photographing an object and to display, over the image, a top indicator for setting a top limit for an area to be X-rayed and at least one guideline indicating a bottom limit for the area to be X-rayed according to the top indicator and the number of partial photographing operations.

The present disclosure relates to systems and methods for positioning an X-ray scanner. The systems may perform the methods to obtain an origin related to an X-ray scanner; determine a coordinate system based on the origin; determine coordinates of a second location of the X-ray scanner based on the origin and the coordinate system; obtain coordinates of a first location based on the origin and the coordinate system; and determine, based on the origin and the coordinates of the second location, positioning information of the X-ray scanner configured to cause the X-ray scanner to be positioned at the first location from the second location of the X-ray scanner.

A system for assisting guiding an endovascular instrument in vascular structures of an anatomical region of interest of a patient. This system includes an imaging device for capturing three-dimensional images of parts of the body of a patient, a programmable device and a viewing unit. The imaging device captures partially superposed fluoroscopic images of the region, and the programmable device forms a first augmented image, representative of a complete panorama of bones of the region, and cooperates with the imaging device to obtain a second augmented image including a representation of the vascular structures of the region. The imaging device captures a current fluoroscopic image of a part of the region, and the programmable device registers the current fluoroscopic image with respect to the first augmented image and locates and displays, on the viewing unit, an image region corresponding to the current fluoroscopic image in the second augmented image.

A transformable imaging system configured to operate in at least two configurations. A first configuration may be open and a second configuration may be closed. The closed configuration may allow for imaging in along an arc greater than 180 degrees.

A computer-implemented method for automated classification of 3D image data of teeth includes a computer receiving one or more of 3D image data sets where a set defines an image volume of voxels representing 3D tooth structures within the image volume associated with a 3D coordinate system. The computer pre-processes each of the data sets and provides each of the pre-processed data sets to the input of a trained deep neural network. The neural network classifies each of the voxels within a 3D image data set on the basis of a plurality of candidate tooth labels of the dentition. Classifying a 3D image data set includes generating for at least part of the voxels of the data set a candidate tooth label activation value associated with a candidate tooth label defining the likelihood that the labelled data point represents a tooth type as indicated by the candidate tooth label.

A method for calculating during use the geometric parameters of an x-ray imaging system, an object or a patient to be observed being placed between the x-ray source and a detector of x-rays having passed through the object or patient, wherein it includes at least the following steps: detecting at least one marker on the object or the patient or in proximity to the object, the marker being of unknown 3D position, acquiring a plurality of 2D images for a plurality of viewpoints of the imaging system, detecting the position of at least one marker in each of the acquired 2D images, estimating the projection matrices corresponding to the projections of the object at various viewing angles and reconstructing in 3D the position of a marker on the basis of the estimation of the projection matrices.