An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject, includes at least one processor. The processor executes a determination process of determining a necessity of and a reason for recapturing an acquired new radiation image by using a trained model that has learned a relationship between a radiation image acquired in the past and the necessity of and the reason for reimaging, a corrective measure derivation process of, in a case where it is determined that reimaging is necessary, deriving a corrective measure for correcting a position or an orientation of the subject on the basis of the reason for determining that reimaging is necessary, and a presentation process of presenting the corrective measure derived in the corrective measure derivation process.

A medical information processing system according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire information on an examination target, identify a reference image corresponding to the examination target on the basis of the information on the examination target, generate an edited image generated by editing the reference image, and transmit order information to which the edited image has been attached.

Systems and methods for articular cartilage thickness mapping and lesion quantification operate on 3D medical image data to reconstruct cartilage surfaces, estimate surface normals, determine cartilage thickness, and identify regions of full-thickness cartilage loss (FCL). Reconstructed cartilage surfaces can be parcellated into subregions using a rule-based approach.

A method for providing a foraminal stenosis ratio using 3-dimensional CT includes (a) transmitting a spine image of a patient to an information extracting unit by an image capturing unit in response to an input signal transmitted from an input unit; (b) extracting spine boundary information and neural foramen area information based on a pixel value of the spine image by the information extracting unit; (c) storing the spine boundary information and the neural foramen area information by an information storing unit; (d) calculating the foraminal stenosis ratio by using the spine image, the spine boundary information, and the neural foramen area information by an information calculating unit; and (e) outputting maximum neural foramen area information of the neural foramen area information, a neural foramen angle for the maximum neural foramen area information, and the foraminal stenosis ratio by an output unit.

The present disclosure includes a method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.

A method for producing a tailor-made implant intended to be implanted at an implantation site of a damaged bone part, the method comprising a step in which a 3D representation of a standard implant is superposed on a 3D representation of a damaged bone part by positioning said standard implant on an implantation site of the damaged bone part, in order, if necessary, to modify the dimensions and/or to adjust the shape of said standard implant, and also, if necessary, to modify the outer surface of said standard implant, which may be either the impression or substantially the impression of the outer surface of said bone part in the state prior to superpositioning of said implant, when the geometry of the damaged bone part is intended to be retained, or a functional outer surface, when said tailor-made implant is intended to be used at the interface of two bone parts cooperating with each other.

The present disclosure provides a surgical robot including a control system, a force identification system, a robotic arm system and a navigation system, the robotic arm system including a robotic arm, a robotic arm terminal detachably connected to a trackable element. The navigation system acquires and provides a registration point of interest on an object to the robotic arm system. The robotic arm system controls movements of the robotic arm to drive the trackable element to move to the registration point of interest. The force identification system detects and provides a force applied to the robotic arm terminal to the control system. The control system determines whether the trackable element has moved to the registration point of interest on the object. The present disclosure also provides a method for bone registration of the surgical robot.

A method includes generating first contrast significance data for a first computer vision model generated from a first training set of medical scans. First significant contrast parameters are identified based on the first contrast significance data. A first re-contrasted training set is generated based on performing a first intensity transformation function on the first training set of medical scans, where the first intensity transformation function utilizes the first significant contrast parameters. A first re-trained model is generated from the first re-contrasted training set, which is associated with corresponding output labels based on abnormality data for the first training set of medical scans. Re-contrasted image data of a new medical scan is generated based on performing the first intensity transformation function. Inference data indicating at least one abnormality detected in the new medical scan is generated based on utilizing the first re-trained model on the re-contrasted image data.

A processing device receives, from a three-dimensional (3D) motion capture system, initial data representing an initial orientation of a subject user's body in an initial position. The processing device further receives x-ray data representing at least the portion of the subject user's body in the initial position. The processing device determines an actual orientation of at least one bone or joint from the portion of the subject user's body in the initial position as represented in the x-ray data and calibrates the initial orientation of the 3D motion capture system to reflect the actual orientation of the at least one bone or joint in the initial position.

A surgical guidance system has two cameras to provide stereo image stream of a surgical field; and a stereo viewer. The system has a 3D surface extraction module that generates a first 3D model of the surgical field from the stereo image streams; a registration module for co-registering annotating data with the first 3D model; and a stereo image enhancer for graphically overlaying at least part of the annotating data onto the stereo image stream to form an enhanced stereo image stream for display, where the enhanced stereo stream enhances a surgeon's perception of the surgical field. The registration module has an alignment refiner to adjust registration of the annotating data with the 3D model based upon matching of features within the 3D model and features within the annotating data; and in an embodiment, a deformation modeler to deform the annotating data based upon a determined tissue deformation.