A method for operating a medical imaging device includes obtaining lesion information on at least one lesion detected from a medical image, determining a shape and a position of at least one contour corresponding to the at least one lesion based on the obtained lesion information, determining a position of at least one text region that includes a text indicating the lesion information on the at least one lesion in the medical image, and displaying the at least one contour and the text included in the at least one text region on the medical image, based on the determined shape and position of the at least one contour and the determined position of the at least one text region.

Disclosed herein is a medical instrument (100, 300). Execution of the machine executable instructions causes a processor (106) to: receive (206) a set of joint location coordinates (128) for a subject (118) reposing on a subject support (120), receive (207) a body orientation (132) in response to inputting the set of joint location coordinates into a predetermined logic module (130), calculate (208) a torso aspect ratio (134) from set of joint location coordinates. If (210) the torso aspect ratio is greater than a predetermined threshold (136) then (212) the body pose of the subject is a decubitus pose. Execution of the machine executable instructions further cause the processor to assign (220) the body pose as being a supine pose if the subject is face up on the subject support or assign (222) the body pose as being a prone pose if the subject is face down on the subject support if the torso aspect ratio is less than or equal to the predetermined threshold. Execution of the machine executable instructions further cause the processor to generate (216) a subject pose label (142).

A method for operating a medical imaging apparatus includes acquiring a first image data set of a region of interest of the patient; automatically evaluating the first image data set using at least one evaluation algorithm yielding evaluation information, regarding at least one type of findings, describing a presence of at least one finding of the type requiring the acquisition of a second image data set and at least one imaging parameter for the second image data set; automatically notifying a user, upon the evaluation information indicating the presence of a required second image data set, of the required acquisition of the second image data set; and acquiring the second image data set acquiring the second image data set after confirmation of acquisition of the second image data set by the user, in a same examination process, using the at least one imaging parameter of the evaluation information.

An information processing system comprises: an information processor capable of transmitting and receiving data; and an estimation unit that estimates dental notations of teeth in each of visible light images and X-ray images of oral cavities input through the information processor and estimates image shooting direction of each of the visible light images and the X-ray images. The information processor adds the dental notations and the image sensing direction to each of the visible light images and the X-ray images as metadata, and manages the visible light images and the X-ray images by associating the visible light images and the X-ray images using the metadata.

A system may be used with a medical imaging system and a programming system. The medical imaging system may be configured to display a medical image and the programming system may be configured to implement a program used in programming a neuromodulation device. The system may comprise a mobile device having at least one processor, a camera and a user interface including a display. The mobile device may be configured to acquire a displayed medical image from the medical imaging system, determine based on the acquired medical image location data indicative of the position of at least one of the electrodes relative to at least one of the anatomy or at least another one of the electrodes, and provide the location data for use by the program implemented by the programming system.

An image processing device includes at least one processor. The processor detects a specific structural pattern indicating a lesion candidate structure for a breast in a series of a plurality of projection images obtained by performing tomosynthesis imaging on the breast or in a plurality of tomographic images obtained from the plurality of projection images, synthesizes the plurality of tomographic images to generate a synthesized two-dimensional image, specifies a priority target region, in which the specific structural pattern is present, in the synthesized two-dimensional image, and performs determination regarding a diagnosis of a lesion on the basis of the synthesized two-dimensional image and the priority target region.

A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

The present disclosure provides methods and systems directed to management and visualization of radiological data. A method for processing at least one medical image of a location of a body of a subject may comprise (a) retrieving, from a remote server via a network connection, the medical image; (b) identifying one or more regions of interest (ROIs) in the medical image, wherein the ROIs correspond to an anatomical structure of the location of the body of the subject; (c) annotating the ROIs with label information corresponding to the anatomical structure, thereby producing an annotated medical image; (d) generating educational information based at least in part on the annotated medical image; and (e) generating a visualization of the anatomical structure, based at least in part on the educational information.

The present invention relates to an X-ray imaging system (10). The X-ray imaging system comprises an optical camera (20), an X-ray imaging device (30), a processing unit (40), and an output unit (50). The optical camera is configured to acquire an optical image of a body part (BP) of a patient or an optical image of the head of the patient. The X-ray imaging device is configured to acquire an X-ray image of the body part of the patient. The processing unit is configured to determine an orientation of the body part, the determination comprising utilization of the optical image of the body part or utilization of the optical image of the head of the patient. The processing unit is configured to annotate the X-ray image of the body part with the orientation. The output unit is configured to output the orientation annotated X-ray image.

A non-transitory computer-readable storage medium storing a program causes a computer to perform an analysis process based on a radiation moving image in which a dynamic state of a specific site of a subject is captured. The program includes the analysis process in which, an analysis is performed based on the radiation moving image wherein when a plane in which the specific site is movable is to be a movable plane, the radiation moving image is obtained by irradiating radiation on the specific site in a state in which the radiation is orthogonal to the movable plane.