According to the invention, one or more discrete edge binning (“DEB”) features of a DEB template matching system, method and/or computer readable medium may preferably comprise and/or apply an image processing algorithm, preferably for use in template matching. According to the invention, template matching may preferably involve using one or more known reference features to detect and/or localize similar features within an image.

A magnetic resonance method and system are provided for magnetic resonance (MR) image-guided insertion of an object into a biological tissue along a predetermined trajectory. The trajectory provides a path between a starting point and a target site within the tissue. Sufficiently high resolution images can be generated in real time to precisely guide the needle placement. A compressed sensing approach is used to generate the images based on minimization of a cost function, where the cost function is based on the predetermined needle path, artifact effects associated with the needle, the negligible changes in the images away from the trajectory, and the limited differences between successive images. The improved combination of spatial and temporal resolution facilitates an insertion procedure that can be continuously adjusted to accurately follow a predetermined trajectory in the tissue, without interruptions to obtain verification images.

A medical imaging device. The medical imaging device includes a device body and an operation unit. The device body has a first mating portion on its upper surface, and the operation unit has a second mating portion configured to movably mate with the first mating portion. The operation unit is provided separately from the device body, and the operation unit is configured to operate the device.

An image diagnosis assistance apparatus is configured to display a plurality of cross-sectional images on a display unit by sequentially switching the plurality of cross-sectional images; obtain user sight-line information including position information on a display screen of the display unit; and obtain a switching speed for switching the plurality of cross-sectional images. The image diagnosis assistance apparatus is configured to determine an observed area with respect to the plurality of cross-sectional images displayed on the display unit based on the obtained sight-line information and switching speed.

A surgical computing system may receive usage data associated with movement of a surgical instrument and user inputs to the surgical instrument. The surgical computing system may receive motion and biomarker sensor data from sensing systems applied to the operator of the surgical instrument. The surgical computing system may determine, based on at least one of the usage data and/or the sensor data, an evaluation of the actions of the operator of the surgical instrument. The surgical computing system may determine, based on the evaluation, to provide feedback. The feedback may comprise instructions for the surgical instrument to provide haptic feedback and/or to modify its configuration. The feedback may comprise instructions for a display unit to present notifications instructing the healthcare professional. The surgical computing system may communicate instructions for providing the feedback to the surgical instrument and/or the display unit.

Systems and methods for synthetic medical image generation in accordance with embodiments of the invention are illustrated. One embodiment includes a synthetic medical image generation system, including a processor, and a memory containing an image synthesis application, where the image synthesis application directs the processor to obtain source image data generated by at least one medical imaging device, where the source image data describes a functional medical image taken of a patient administered with a first imaging agent, and synthesize a predicted medical image of the patient that depicts the patient as if they were administered with a second imaging agent, wherein the first imaging agent and the second imaging agent are different imaging agents.

Systems, methods, and storage media for automatically identifying medical conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of medical conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.

The present invention relates to image processing devices and related methods. The image processing device (10) comprises a data input (11) for receiving spectral computed tomography volumetric image data organized in voxels. The image data comprises a contrast-enhanced volumetric image of a cardiac region in a subject's body and a baseline volumetric image of that cardiac region, e.g. a virtual non-contrast image, wherein the contrast-enhanced volumetric image conveys anatomical information regarding coronary artery anatomy of the subject. The device comprises a flow simulator (12) for generating, or receiving as input, a three-dimensional coronary tree model based on the volumetric image data and for simulating a coronary flow based on the three-dimensional coronary tree model. The device comprises a perfusion synthesis unit (13) for generating a perfusion image representative of a blood distribution in tissue at at least one instant in time taking at least the baseline volumetric image and said coronary flow simulation into account.

According to the present invention, an optical ultrasonic wave measuring apparatus includes an ultrasonic pulse output section, a light pulse output section, a reflected wave measuring section, an optoacoustic wave measuring section, an exceeding time point acquiring section, and a measurement result shifting section. The reflected wave measuring section measures, in correspondence to time, a reflected wave as a result of reflection of the ultrasonic pulse at a measuring target. The optoacoustic wave measuring section measures, in correspondence to time, an optoacoustic wave generated by the light pulse at the measuring target. The exceeding time point acquiring section acquires an exceeding time point at which a measurement result of the reflected wave exceeds a predetermined threshold value. The measurement result shifting section shifts a measurement result of the optoacoustic wave by a first shift time toward the time point of output of the light pulse.

A medical image diagnostic system of an embodiment includes a processing circuit which is configured to control transition between a plurality of steps included in a workflow for examining a subject. The processing circuit is configured to acquire first information representing a preparation state of the subject in a first step among the plurality of steps, is configured to acquire second information representing permission for transition from the first step to a second step, and is configured to control transition from the first step to the second step on the basis of the first information and the second information.