Disclosed herein is a method, comprising: causing emission of characteristic X-rays of a chemical element in an object by directing radiation to the object; capturing images of the object using the radiation that has transmitted through the object; capturing images of the chemical element in the object using the characteristic X-rays; reconstructing a three-dimensional image of the object based on the images of the object; determining a three-dimensional distribution of the chemical element in the object based on the images of the chemical element; and superposing the three-dimensional image of the object and the three-dimensional distribution of the chemical element in the object to form a superposed image of the object. The radiation directed to the object comes from multiple radiation sources. The images are captured with multiple image sensors. The radiation sources and the image sensors are stationary with respect to the object.

A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

A mammography apparatus includes a diagnostic image acquisition unit that acquires a diagnostic image in which a calcification as a biopsy target is marked; a scout image acquisition unit that acquires a scout image obtained by imaging a mamma undergoing the biopsy from a specific direction; and a display unit that highlights a calcification (candidate for biological tissue examination) in the scout image which matches at least the marked calcification in the diagnostic image.

A method and system implementing a method for detecting a catheter in fluoroscopic data and updating a displayed electromagnetic position of the catheter on a 3D rendering is provided including navigating a catheter to a target area and acquiring fluoroscopic data from a fluoroscopic sweep of the target area. An initial catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a shallow neural network. A secondary catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a deep neural network. False-positive catheter tip candidates are removed by reconstructing a 3D position of the catheter tip and finding an intersecting point of rays corresponding to each 2D frame.

With a diagnostic imaging support apparatus, a diagnostic imaging support method, and a diagnostic imaging support program, an optimum image for extracting a contour can be automatically selected from a superimposed image obtained by superimposing a plurality of images of different types. A diagnostic imaging support apparatus 1 includes: an accepting unit 22 that accepts a specification of the position of a predetermined defined region R on a superimposed image G obtained by superimposing a plurality of images of different types including a target image G0 that is a target on which a contour is created; a selection unit 23 that selects an image for extracting a contour on the basis of image information about regions R0, R1, and R2, in the plurality of images of different types, each corresponding to the accepted defined region R; and a contour extraction unit 24 that extracts the contour from the selected image.

A method for performing a computer-aided diagnosis (CAD) includes: acquiring a medical image set; generating a three-dimensional (3D) tumor distance map corresponding to the medical image set, each voxel of the tumor distance map representing a distance from the voxel to a nearest boundary of a primary tumor present in the medical image set; and performing neural-network processing of the medical image set to generate a predicted probability map to predict presence and locations of oncology significant lymph nodes (OSLNs) in the medical image set, wherein voxels in the medical image set are stratified and processed according to the tumor distance map.

A system for performing a scan of internal structures of an object/patient is provided. The system includes a radiation source operative to emit a radiation beam, a radiation detector operative to receive the radiation beam and generate an output signal based at least in part on the received radiation beam, and a controller in electronic communication with the radiation source and the radiation detector and operative to generate at least one image of the object/patient. The controller is further operative to determine an offset of the at least one image relative to an image reference and to employ the offset to automatically align the at least one image with the image reference without the need for stopping the operation of the radiation source and detector to reposition the object/patient being scanned.

An imaging apparatus comprises a rotatable gantry system positioned at least partially around a patient support; a first source of radiation coupled to the rotatable gantry system, the first source of radiation configured for imaging radiation; a second source of radiation coupled to the rotatable gantry system; and a first radiation detector coupled to the rotatable gantry system and laterally movable relative to a central beam of the first source of radiation to receive radiation from at least the first source of radiation over various fields of view. Alternative configurations of the imaging apparatus and methods of using the imaging apparatus are also provided.

A method for visualizing and targeting anatomical structures inside a patient utilizing a handheld screen device may include grasping the handheld screen device and manipulating a position of the handheld screen device relative to the patient. The handheld screen device may include a camera and a display. The method may also include orienting the camera on the handheld screen device relative to an anatomical feature of the patient by manipulating the position of the handheld screen device relative to the patient, capturing first image data of light reflecting from a surface of the anatomical feature with the camera on the handheld screen device, and comparing the first image data with a pre-operative 3-D image of the patient to determine a location of an anatomical structure located inside the patient and positioned relative to the anatomical feature of the patient.

The disclosure relates to PET imaging systems and methods. The systems may obtain a plurality of PET images of a subject and a CT image acquired by performing a spiral CT scan on the subject. Each gated PET image may include a plurality of sub-gated PET images. The CT image may include a plurality of sub-CT images each of which corresponds to one of the plurality of sub-gated PET images. The systems may determine a target motion vector field between a target physiological phase and a physiological phase of the CT image based on the plurality of sub-gated PET images and the plurality of sub-CT images. The systems may reconstruct an attenuation corrected PET image corresponding to the target physiological phase based on the target motion vector field, the CT image, and PET data used for the plurality of gated PET images reconstruction.