A method, apparatus, and system for reliably identifying a specific part of a spine in an image of a human or animal body, includes the steps of determining one or more parts of the spine in the image, determining one or more discriminative parameters for each of the one or more parts of the spine in the image, the discriminative parameters relating to at least one anatomical property of each of the one or more parts of the spine, classifying the discriminative parameters of the one or more parts of the spine in the image, and identifying a specific part of the spine based on the classification of the discriminative parameters of the one or more parts of the spine in the image. An identified vertebra, in particular the T12 vertebra and/or its associated intervertebral discs, can be used advantageously as a starting point of powerful automatic spine labeling algorithms.

The present invention relates to a device for editing a panoramic radiography image of an examination object generated by a panoramic X-ray machine, comprising: an input interface for receiving the panoramic radiography image as well as reconstruction data of the panoramic radiography image, the reconstruction data including information on a course of projection lines of the panoramic radiography image between an X-ray source and an X-ray detector of the panoramic X-ray machine as well as information on an image surface of the panoramic radiography image; an evaluation unit for evaluating the reconstruction data and for determining an image section of the panoramic radiography image that has been generated on the basis of one of the projection lines with two intersection points with the image surface; an image editing unit for editing the panoramic radiography image based on the determined image section; and an output unit for outputting the edited panoramic radiography image. Moreover, the invention relates to a method for editing a panoramic radiography image of an examination object generated by a panoramic X-ray machine as well as a diagnosis system for examining a craniomaxillofacial area of a patient.

Systems and methods are disclosed for predicting healthy lumen radius and calculating a vessel lumen narrowing score. One method of identifying a lumen diameter of a patient's vasculature includes: receiving a data set including one or more lumen segmentations of known healthy vessel segments of a plurality of individuals; extracting one or more lumen features for each of the vessel segments; receiving a lumen segmentation of a patient's vasculature; determining a section of the patient's vasculature; and determining a healthy lumen diameter of the section of the patient's vasculature using the extracted one or more features for each of the known healthy vessel segments of the plurality of individuals.

An information processing apparatus includes a display control unit. The display control unit is configured to perform control to display a signal source in a superimposed manner on a plurality of biological tomographic images sliced in a predetermined direction, the signal source corresponding to a part of biological data indicating a temporal change of a biological signal, and initially display, in a display region of a screen of a display unit, a biological tomographic image on which a predetermined signal source is superimposed among the plurality of sliced biological tomographic images.

A medical scan interface feature evaluator system is operable to generate an ordered image-to-prompt mapping by selecting a set of user interface features to be displayed with each of an ordered set of medical scans. The set of medical scans and the ordered image-to-prompt mapping are transmitted to a set of client devices. A set of responses are generated by each client device in response to sequentially displaying each of the set of medical scans in conjunction with a mapped user interface feature indicated in the ordered image-to-prompt mapping via a user interface. Response score data is generated by comparing each response to truth annotation data of the corresponding medical scan. Interface feature score data corresponding to each user interface feature is generated based on aggregating the response score data, and is used to generate a ranking of the set of user interface features.

The present invention discloses a method and a system of vertebral compression fracture detection. The method of vertebral compression fracture detection includes: recombining a plurality of anatomical images captured in at least a spine segment of a target individual into a 3D image; using a multi-planar reconstruction method to reformat the 3D image to obtain at least one sagittal reformatted image; using a classification model to determine whether the sagittal reformatted image covers the middle section of the vertebral column or not; using a vertebral detection method to detect each vertebral body in the sagittal reformatted image covering the middle section of the vertebral column; using a keypoint localization method to localize a plurality of keypoints of each vertebral body which was detected in the sagittal reformatted image; evaluating the compression fracture grade of each vertebral body in the sagittal reformatted image.

A radiographic image capturing apparatus includes: a two-dimensional array of radiation detecting elements that generate one or more electric charges in proportion to a dose of incident radiation; and a control unit that performs control, at least, to read the electric charges from the radiation detecting elements and generate image data. An image capturing mode is switchable between a controlled mode in which the radiographic image capturing apparatus is under control of an external console and a stand-alone mode in which the radiographic image capturing apparatus autonomously performs image capturing without the control of the console. When the image capturing mode is switched to the controlled mode or the stand-alone mode, the control unit changes its own process so as to meet the switched image capturing mode.

A controller (50) is provided with: an orientation determination unit (51) configured to determine an orientation of a subject; a protocol acquisition unit (52); an annotation processing unit (53) configured to perform annotation; a difference determination unit (54) configured to determine whether the currently selected protocol and the orientation of the subject determined by the orientation determination unit (51) are inconsistent with each other; and a warning unit (55) configured to issue a warning and an imaging prohibition unit (56) configured to prohibit imaging when the difference determination unit (54) determines that the currently selected protocol among the protocols acquired by the protocol acquisition unit (52) and the orientation of the subject determined by the orientation determination unit (51) are inconsistent with each other.

An image inspection device includes a radiation image acquisition unit that acquires a radiation image obtained by imaging a subject using radiation, an imaging condition recognition unit that recognizes an imaging condition relating to an imaging direction and/or laterality of the subject reflected in the radiation image, and a marker superimposition unit that superimposes, on the radiation image, a marker indicating the imaging direction and/or laterality of the subject reflected in the radiation image by using a result of the recognition of the imaging condition recognition unit.

Fluoroscopic imaging of a patient's heart is performed by positioning a patient in a sterile field and imaging the heart using a x-ray fluoroscopy system within the sterile to produce a two-dimensional image. The two-dimensional image is simultaneously displayed on an operative display within or adjacent the sterile filed and on a display of a remote image processor outside the operative field. The two-dimensional image of the remote display is manually marked or annotated to show anatomical or treatment information which is simultaneously shown on the operative display.