A medical information processing device according to an embodiment includes processing circuitry configured to acquire a plurality of X-ray images including a device inserted into a body of a subject, suppress movement of a characteristic portion characterized in a shape that is positioned distant from a distal end of the device among the X-ray images, and output the X-ray images in which movement of the characteristic portion is suppressed.

3D image data of a skeletal portion within a subject's body is acquired. Subsequently, one or more radiopaque elements are positioned with respect to the body and first and second x-rays of the radiopaque elements and the skeletal portion are acquired from respective views. Based upon an identified location of the radiopaque elements within the x-rays, and registration of the x-rays to the 3D image data, the location of the radiopaque elements with respect to the 3D image data is determined. An optical image of the body and the radiopaque elements is acquired and the location of the radiopaque elements within the optical image is identified. The 3D image data is overlaid upon the optical image by aligning (a) the location of the radiopaque elements within the 3D image data with (b) the location of the radiopaque elements within the optical image. Other applications are also described.

A method for improving the accuracy of a digital medical model of a part of a patient, the method includes obtaining a set of at least 2 medical images of the patient, where an element including a predefined geometry and/or predefined information was attached to the patient during the recording of the medical images; obtaining at least 2 tracking images taken with at least one camera having a known positional relationship relative to the medical imaging device, the tracking images depicting at least part of the element; determining any movement of the element between acquisition of the at least 2 tracking images; and generating the digital medical model from the acquired medical images, wherein the determined movement of the element is used to compensate for any movement of the patient between the acquisition of the medical images.

In a method for automatic motion detection in medical image-series, a dataset of a series of images is provided. The images can be of a similar region of interest that are recorded at consecutive points of time. The method can further include localizing a target in the images of the dataset and calculating a position of the target in the images to calculate localization data of the target, and calculating movement data of a movement of the target of temporal adjacent images of the images based on the localization data.

A dynamic image processing apparatus includes a hardware processor. The hardware processor extracts (i) a region of interest and/or (ii) a frame image of interest from a series of frame images obtained by dynamic imaging of a subject. Further, the hardware processor stores, of the series of the frame images, only (i) the extracted region of interest, (ii) the extracted frame image of interest or (iii) the extracted region of interest in the extracted frame image of interest in a storage.

Methods and systems are provided for medical imaging systems. In one embodiment, a method for a medical imaging system comprises acquiring emission data during a positron emission tomography (PET) scan of a patient, reconstructing a series of live PET images while acquiring the emission data, tracking motion of the patient during the acquiring by determining a per-voxel variation for selected voxels in a current live PET image of the series of live PET images, and outputting an indication of patient motion based on the per-voxel variation for the selected voxels in each live PET image. In this way, patient motion during the scan may be identified and compensated for via scan acquisition and/or data processing adjustments, thereby producing a diagnostic PET image with reduced motion artifacts and increased diagnostic quality.

A method for tomosynthesis volume reconstruction acquires at least a prior projection image of the subject at a first angle and a subsequent projection image of the subject at a second angle. A synthetic image corresponding to an intermediate angle between the first and second angle is generated by a repeated process of relating an area of the synthetic image to a prior patch on the prior projection image and to a subsequent patch on the subsequent projection image according to a bidirectional spatial similarity metric, wherein the prior patch and subsequent patch have n×m pixels; and combining image data from the prior patch and the subsequent patch to form a portion of the synthetic image. The generated synthetic image is displayed, stored, processed, or transmitted.

A computed tomography (CT) imaging system includes a CT imaging unit, a display unit and at least one processor. The CT imaging unit includes an X-ray source and a CT detector. The at least one processor is operably coupled to the imaging unit and the display unit, and is configured to: acquire at least three phases of CT imaging information via the CT imaging unit; determine timing information for imaging intensity of blood vessels represented in the CT imaging information; assign corresponding colors to the blood vessels based on the timing information; reconstruct an image using the CT imaging information from the at least three phases, wherein the blood vessels depicted in the reconstructed image are represented using the corresponding colors based on the timing information; and display the image on the display unit.

A method includes introducing the examination object into an examination region of a combination device; recording emission computed tomography data over a measurement period and storing detection events and detection instants associated therewith; measuring magnetic resonance data of at least two subregions of the examination region at at least two instants during the recording period of the emission computed tomography data and storing the magnetic resonance data and the recording instants; determining motion information describing a motion of a region of the examination object at a first instant relative to the position at a second instant from the magnetic resonance data recorded at the first instant and the second instant, for each subregion; determining a motion model describing motion of the examination object, for the entire object, from information for the subregions; and calculating motion-corrected emission tomography data from detection events, detection instants and the motion model.

A tomography imaging apparatus is provided, including: a data acquisition unit configured to acquire a plurality of partial data respectively corresponding to a plurality of consecutive angular sections by performing a tomography scan on a moving object; and an image processing unit configured to measure global motion of the object and motion of a first region in the object based on the plurality of partial data, acquire first information representing motion of the object by reflecting the global motion in the motion of the first region, and reconstruct a final tomography image representing the object based on the first information.