An ultrasound diagnostic apparatus includes an ultrasound probe, an image generation unit that generates an ultrasound image on which a breast of a subject is captured by performing transmission and reception of an ultrasound beam by using the ultrasound probe for the subject, a schema image generation unit that generates a schema image on which a region of interest is plotted based on a synthesized two-dimensional image generated by using a series of radiation images obtained by tomosynthesis imaging and on which the breast of the subject is captured, information on a tomosynthesis image accompanying the synthesized two-dimensional image and corresponding to the region of interest on the synthesized two-dimensional image, and information on the region of interest, and a monitor that displays the ultrasound image, the synthesized two-dimensional image, and the schema image.

A method for adjusting a medical device is provided. The method includes obtaining an initial trajectory of a component of the medical device. The initial trajectory of the component includes a plurality of initial positions. For each of the plurality of initial positions, the method further includes determining whether a collision is likely to occur between a subject and the component according to the initial trajectory of the component. In response to the determination that the collision is likely to occur, the method further includes updating the initial trajectory of the component to determine an updated trajectory of the component.

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 medical information processing system in an embodiment includes processing circuitry. The processing circuitry acquires an ultrasound image including an observation target and having additional information, positional information indicating a position of an ultrasound probe in a subject at time of collection of the ultrasound image, and a reference image obtained by taking an image of a region including the observation target at a time point other than the time of collection. The processing circuitry generates, based on the positional information, correspondence information in which the ultrasound image and the reference image are associated with each other. The processing circuitry causes an output unit to output the generated correspondence information.

An image processing apparatus includes at least one processor. The processor is configured to execute calcification image detection processing of detecting a calcification image based on a plurality of tomographic images obtained from a series of a plurality of projection images obtained by tomosynthesis imaging of a breast, region-of-interest image group generation processing of generating a region-of-interest image group by cutting out, as a region-of-interest image, a region including the calcification image detected by the calcification image detection processing from each of the plurality of projection images, variance value calculation processing of calculating a variance value of feature amounts of each of the region-of-interest images included in the region-of-interest image group, and shape type determination processing of determining a type of a shape of the calcification image based on the variance value calculated by the variance value calculation processing.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry designates a region of interest in a first tomogram among multiple tomograms which are based on tomosynthesis imaging performed with a subject compressed in a first direction. The processing circuitry specifies a second tomogram corresponding to the region of interest from among multiple tomograms which are based on tomosynthesis imaging performed with the subject compressed in a second direction different from the first direction.

A system for tracking an instrument during a procedure on a patient is provided. The system includes a rotatable gantry, an x-ray imaging device, a processor, and a memory coupled to the processor. The processor is configured to: generate a three dimensional (3D) image based on a plurality of initial x-ray projections taken at a plurality of projection angles; generate an annotated 3D image of the 3D image including annotations of the target location and at least one planned instrument path on the 3D image; generate a plurality of two dimensional (2D) annotations based on the annotated 3D image at each projection angle; superimpose each 2D annotation onto the initial x-ray projection of the corresponding projection angle; obtain a plurality of subsequent x-ray projections of the patient at the plurality of projection angles; and co-register each subsequent x-ray projection with a corresponding annotated initial x-ray projection for each projection angle.

A system for tracking an instrument during a procedure on a patient is provided. The system includes a rotatable gantry, an x-ray imaging device, a processor, and a memory coupled to the processor. The processor is configured to: generate a three dimensional (3D) image based on a plurality of initial x-ray projections taken at a plurality of projection angles; generate an annotated 3D image of the 3D image including annotations of the target location and at least one planned instrument path on the 3D image; generate a plurality of two dimensional (2D) annotations based on the annotated 3D image at each projection angle; superimpose each 2D annotation onto the initial x-ray projection of the corresponding projection angle; obtain a plurality of subsequent x-ray projections of the patient at the plurality of projection angles; and co-register each subsequent x-ray projection with a corresponding annotated initial x-ray projection for each projection angle.

A back illuminated sensor is included as a collector component of a detector for use in intraoral and extraoral 2D and 3D dental radiography, digital tomosynthesis, photon-counting computed tomography, positron emission tomography (PET), and single-photon emission computed tomography (SPECT). The disclosed imaging method includes one or more intraoral or extraoral emitters for emitting a low-dose gamma ray or x-ray beam through an examination area; and one or more intraoral or extraoral detectors for receiving the beam, each detector including a back illuminated sensor. Within the detector, the beam is converted into light and then focused and collected at a photocathode layer without passing through the wiring layer of the back illuminated sensor.

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.