A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.

A medical imaging system comprises an operator terminal configured to obtain at least one image of a patient generated by a medical imaging device, receive one or more notes pertaining to the at least one image from an operator of the medical imaging device, store a clean set of images including the at least one image in at least one server, annotate the at least one image with the one or more notes to generate a set of annotated images; tag the set of annotated images as non-persistent, and store the set of annotated images in the at least one server; wherein the at least one server is configured to provide to a physician terminal both the clean set of images and the annotated set of images stored for the patient and automatically delete the one or more images tagged as non-persistent after review thereof by the physician.

A patient-specific assessment of fracture probability for the femur proximal end is provided. 3D locations of the femur head center, a point on the femoral shaft center, and the femoral intercondylar notch are determined from a clinical image. A frontal plane, a perpendicular thereunto and a bone shaft axis are determined from the 3D locations. An FEA coordinate system is defined from the frontal plane, the perpendicular and the axis. Two FEA analyses are performed, one for neck fracture and one for pertrochanteric fracture, with the same displacement constraints and the same load magnitude but different load angles. The femur proximal end is divided into four anatomically-based regions. For each region and each load, maximum tensile and compressive principal strains are determined and, based on the body weight and the principal strains, a likelihood of fracture is obtained. The minimum of these 8 likelihoods gives the probability of fracture.

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.

Conventionally, systems and methods have been provided for manual annotation of anatomical landmarks in digital radiography (DR) images. Embodiments of the present disclosure provides system and method for anatomical landmark detection and identification from DR images containing severe skeletal deformations. More specifically, motion artefacts and exposure are filtered from an input DR image to obtain a pre-processed DR image and probable/candidate anatomical landmarks comprised therein are identified. These probable candidate anatomical landmarks are assigned a score. A subset of the candidate anatomical landmarks (CALs) is selected as accurate anatomical landmarks based on comparison of the score with a pre-defined threshold performed by a trained classifier. Position of remaining CALs may be fine-tuned for classification thereof as accurate anatomical landmarks or missing anatomical landmarks. The CALs may be further fed to the system for checking misalignment of any of the CALs and correcting the misaligned CALs.

Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

A method includes receiving a selection of an examination template including a hierarchical examination workflow and baseline configuration parameters corresponding to the examination template, wherein the examination template is associated with an anatomical area; automatically configuring an imaging system with the baseline configuration parameters from the examination template; capturing image data of a patient using the imaging system according to the hierarchical examination workflow; storing the image data on a storage system, such that the image data is associated with the anatomical area; displaying an anatomical model of a plurality of anatomical areas of the patient; and displaying thumbnails of the image data on respective areas of the anatomical model corresponding to anatomical areas of the patient where the image data was captured by the imaging system.

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.

During a medical intervention such as an angiography, the X-ray examination equipment (such as that mounted on a C-arm) produces a very large number of imaging frames of the intervention, as it progresses. This information contains frame sequences which can be effectively used to improve a medical report of the intervention. The sequence will contain sequences which contain similar clinical information though, and these frames may be considered to be redundant and not useful for inclusion in the medical report. The aspects detailed herein enable a selection of non-redundant sequences and/or frames, based on contextual information, obtained from the sequence of images, and/or other medical equipment, during an intervention. In this way, the redundancy inherent in the original frame sequence can be removed, leaving a set of prepared candidate sequences for insertion into a multimedia or documentary medical report.

To provide a technique with which dose indices can be managed for body parts in a range to be imaged on a body part-by-body part basis, an X-ray CT apparatus comprises: image producing unit (51) for producing a scout image (10) of a patient; defining unit (52) for defining a range (11) to be imaged in the scout image (10); segmenting unit (53) for segmenting the range (11) to be imaged into two body parts; identifying unit (54) for identifying which one of body parts (12) included in a human body each of the two body parts corresponds to; and calculating unit (55) for calculating a dose index for each of the two body parts.