A method for setting a scanning protocol and an apparatus thereof are provided. The method includes: creating a plain film positioning image; receiving a point or a line or a region of interest on the plain film positioning image input by an operator; generating a region to be matched, based on the point or the line or the region of interest; determining whether there is pre-stored reference image having a matching degree greater than a preset threshold by comparing pre-stored reference images with the region to be matched; obtaining a reference image in the case that the reference image has a matching degree greater than the preset threshold; selecting a scanning protocol corresponding to the reference image based on a preset correspondence between reference images and scanning protocols; and completing a setting of the scanning protocol in the case that there is the scanning protocol corresponding to the reference image.

An analyzer (124) includes a quantifier (204) configured to quantify an amount of contrast material representing scar tissue created by ablation for tissue of interest in contrast enhanced imaging data and a recommender (210) configured to generate a signal indicative of a recommendation to further ablate the tissue of interest in response to the quantified amount of the contrast material not satisfying a pre-determined threshold. A method includes obtaining contrast enhanced image data indicative of scar tissue created by ablation of tissue of interest, quantifying an amount of contrast material for the scar tissue in the tissue of interest, and generating a signal indicative of a recommendation to further ablate the tissue of interest in response to the quantified amount of the contrast material not satisfying a pre-determined threshold.

An image registration device includes: an image acquisition unit that acquires plural images captured in time series; a pixel value change acquisition unit that acquires a pixel value change at the same position of each of the images for plural positions of each image; a clustering unit that clusters the pixel value changes acquired for plural positions of each image into plural classes; a region division unit that divides each of the images into plural regions based on information of the class of each pixel of each image and a pixel value of each pixel of each image; and a registration processing unit that performs registration processing on each image based on information of plural regions of each image.

A medical imaging system (200) includes a masking unit (234), an image registration unit (238), a motion estimator (240) and a motion compensating reconstructor (244). The masking unit constructs a mask for each reconstructed volumetric phase image of a plurality of reconstructed volumetric phase images that masks portions of a corresponding image external to an anatomical model fitted to a segmented at least one anatomical structure, 5 wherein the plurality of reconstructed volumetric phase images include a target phase and a plurality of temporal neighboring phases reconstructed from projection data. The image registration unit registers the masked reconstructed volumetric phase images. The motion estimator estimates motion between the target phase and the plurality of temporal neighboring phases according to the model based on the registered masked reconstructed 10 volumetric phase images. The motion compensating reconstructor reconstructs a motion compensated medical image from the projection data using the estimated motion of the registered masked reconstructed volumetric phase images.

Systems and methods for reducing X-ray scatter during breast imaging, and more specifically during tomosynthesis imaging. In one embodiment, an anti-scatter grid having a plurality of septa may be configured to be positioned relative to an X-ray imaging device such that each septum of the plurality of septa extends along a direction substantially parallel to a coronal plane of a subject during imaging of the subject using the X-ray imaging device. The X-ray imaging device may be operable in a tomosynthesis mode for imaging of a breast of the subject and may include the anti-scatter grid disposed between a breast platform and the X-ray detector. The anti-scatter grid may be configured to move in a direction substantially parallel to a sagittal plane of the subject during tomosynthesis imaging.

The present invention discloses a medical image fusion apparatus and method. The medical image fusion apparatus comprises: a display unit configured to display a plurality of medical images in layers in one window on a screen, wherein the arrangement direction of the plurality of medical images is different from the extension direction of the plane on which each medical image exists; an operation detection unit configured to detect an operation of selecting the medical images to be fused from the plurality of medical images; and a fused image generation unit configured to generate a fused image of the medical images to be fused according to the selection operation, wherein the display unit is further configured to display the fused image in a predetermined region in the window.

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.

Disclosed is a non-invasive PET-CT imaging method for detecting acute myeloid leukemia (AML) or extramedullary disease (EMD) in a subject using a radioactive isotope-labeled anti-CD33 antibody. Also disclosed is a PET-CT imaged-guided method for treating AML or EMD.

An X-ray diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry acquires two medical images, a moving distance of a region of interest between the medical images corresponding to a distance derived from a parallax angle. The processing circuitry causes a display to display a stereoscopic image based on the medical images.

A positioning apparatus and a positioning method has a control element and function 40 includes a radiograph acquisition element 41 that acquires radiograph data detected by two radiography systems selected from a group consisting of a flat panel detector, a DRR (Digital Reconstructed Radiograph) generation element 42 that generates DRR in two different directions by virtually performing fluoroscopic projection relative to the 3-dimensional CT data obtained through the network 17, a positioning element 43 that positions a CT to the X-ray fluoroscopic radiograph obtained from two radiography systems, and a displacement distance calculation element 44 that calculates a displacement distance of the tabletop 31 based on the gap between radiographs for improved positioning. The positioning element 43 has a multidimensional optimization element 45 and a 1-dimensional optimization element 46 that optimize parameters relative to rotation and translation of the fluoroscopic projection to maximize an evaluation function that evaluates a matching degree between the DRR and the X-ray fluoroscopic radiograph.