Abstract:
A system and method are provided for enabling a user to annotate a medical image. A collection of key-value pairs is provided, in which a key represents an image-observable quantity and a value represents the value of the image-observable quantity. A collection of structured finding objects is provided, wherein each structured finding object represents a set of key-value pairs, each set of key-value pairs representing a different annotation of the medical image. The user is enabled to select one or more of the collection of key-value pairs, thereby obtaining a user-selected structured finding object which represents a preliminary annotation of the medical image by the user. At least one recommended structured finding object is selected by using the user-selected structured finding object as input to a probabilistic recommendation algorithm. Feedback is provided to the user on the basis of the recommended structured finding object. The annotation is well suited for, e.g., pointer-based selection via a graphical user interface, speech recognition, etc. Moreover, machine interpretability may be improved compared to conventional string-based annotation.
Abstract:
An annotation support system (10) comprising at least one display device (20). A context extraction module (24, 36) determines a context of a current medical image from a current image study. A matching module (26, 38) compares the context of the current medical image to contexts of prior medical images from prior image studies. A display module (28, 40) displays at least one of context relevant annotations and context relevant medical images from the prior image studies which match the context of the current medical study.
Abstract:
A system includes (100) includes a display (112) that sequentially displays images from an image data set at a predetermined rate, an optical attention monitoring device (120) that senses a characteristic indicative of a clinician's attention to each displayed image of the image data set, and a processor (106) that executes an attention detection module (118) that detects a lapse in attention with respect to one or more of the displayed images based on the sensed characteristic indicative of the clinician's attention and generates a signal indicating the one or more of the displayed images.
Abstract:
A system and method for generating a radiological report. The system and method displaying, on a display, an image of a region of interest, determining an image characteristic of the region of interest, determining, via a processor, a recommendation based on the image characteristic, and generating, via the processor, a report including the recommendation.
Abstract:
A medical image navigation system (2) includes a viewport module (4), a proximity module (26), a visualization module (28) and a matching module (34). The viewport module (4) navigates a plurality of image slices of a study and based on input from at least one input device selects at least one image which is displayed and any annotations associated with the selected at least one image on a display device. The proximity module (26) for the selected image slice returns at least one proximate annotation, if available. The visualization module (28) for the returned at least one proximate annotation visualizes the at least one proximate annotation which is displayed by the viewport module on the selected at least one image. A matching module (34) retrieves for display an image slice in one study which corresponds to a displayed image slice from another study.
Abstract:
A system (100), method (600) and non-transitory computer-readable medium are described for performing ultrasound imaging. The method (200) includes: receiving images from a camera (602); reconstructing a body surface map from the images from the camera (604); applying a first trained computational model to the body surface map to predict a body type (606); applying a second trained computational model to predict a pose of the body (608); andidentifying, on the body surface map, a portion of the body to be obscured, and a portion of the body to be imaged (610) during the ultrasound imaging method.
Abstract:
A system and method for generating a radiological report. The system and method displaying, on a display, an image of a region of interest, determining an image characteristic of the region of interest, determining, via a processor, a recommendation based on the image characteristic, and generating, via the processor, a report including the recommendation.
Abstract:
A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.
Abstract:
A system (400) configured to generate an expanded query for an electronic health database, the system comprising: a user interface (410) configured to receive a query comprising a search string and information about a clinical context in which the search is being performed; and a processor (460) comprising: (i) a model creation module (420) configured to generate a clinical information model comprising one or more clinical concepts; (ii) a prioritization module (430) configured to prioritize the one or more clinical concepts identified in the generated clinical information model based on the received information about the clinical context in which the search is being performed and a clinical guideline or management plan for the patient; (iii) a query expansion module (440) configured to create an expanded query using the prioritized clinical concepts; and (iv) a query module (450) configured to query the electronic health database using the expanded query.
Abstract:
An annotation support system (10) comprising at least one display device (20). A context extraction module (24, 36) determines a context of a current medical image from a current image study. A matching module (26, 38) compares the context of the current medical image to contexts of prior medical images from prior image studies. A display module (28, 40) displays at least one of context relevant annotations and context relevant medical images from the prior image studies which match the context of the current medical study.