Abstract: A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur.

Abstract: A system for selecting a set of documents from a health record of a patient (1) is disclosed. A specialty unit (21) is arranged for determining a specialty (3) for selecting the set of documents, to obtain a determined specialty. A first selecting unit (4) is arranged for selecting a first set of documents (5) from the health record, wherein a specialty of a physician associated with the documents of the first set of documents (5) matches the determined specialty. A body part determining unit (6) is arranged for determining a body part (7) associated with at least one document of the first set of documents (5), to obtain a body part. A second selecting unit (8) is arranged for selecting a second set of documents (9) from the health record, wherein a body part associated with the documents of the second set of documents matches the determined body part.

Abstract: A system for indicating the quality of a medical report including a medical report system which generates a medical score based on a clinician's interpretation of medical data, a portion of the medical report including text in a natural language; and a medical report grading device which processes the portion of text in natural language and generates one or more scores of one or more categories relating to the quality of the medical report.

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: 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 for detecting and visualizing finding-specific suggestion and information includes a clinical database storing one or more clinical documents including clinical data. A natural language processing engine processes the clinical documents to detect clinical data pertinent to a patient. A context extraction and classification engine extracts clinical findings from the clinical data and detects finding-specific suggestions from the clinical findings. A clinical interface engine generates a user interface which enables the user to view the detected clinical data and finding-specific suggestions.

Abstract: The invention relates to a system (100) for classifying image data on the basis of a model for adapting to an object in the image data, the system comprising a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data on the basis of the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model on the basis of the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying the image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data.

Abstract: A document creation system is disclosed. A text input unit (1) is arranged for receiving an input from a user for inclusion into a document (10) as text (11). A selection input unit (2) is arranged for receiving a user selection of a macro (15), wherein the macro comprises a text portion (16) and structured semantic information (17) relating to the text portion (16). A text inserter (3) is arranged for inserting the text portion (16) into the document (10), in response to the user selection. An annotation unit (4) is arranged for annotating the document (10) with an annotation (12) based on the structured semantic information (12). The text portion (16) of a macro (15) can comprise a blank to be filled in. A field input unit (6) is arranged for receiving from the user at least one value associated with said at least one blank.

Abstract: A method includes receiving a signal indicative of an experience level of a clinician evaluating patient data, and, in response to determining whether the experience level satisfies a predetermined experience level threshold, prompting, via a graphical user interface, for an input indicating a first impression based on the evaluation of the patient data, automatically populating a first sub-set of the fields in the electronically formatted structured medical report based on the first impression, populating a second different sub-set of the fields in the electronically formatted structured medical report based on an input indicative of clinician selected entries, finalizing the electronically formatted structured medical report in response to clinician confirmation of the populated electronically formatted structured medical report, and storing the finalized electronically formatted structured medical report in a data repository.

Abstract: A text analysis system is described. A natural language input unit (1) is arranged for enabling a user to input a free text (10) in a natural language. A natural language processing unit (2) is arranged for processing at least a portion of the free text (10) while it is being inputted, to obtain an explicit representation (11) of semantics represented by the free text. An explicit information input unit (3) is arranged for enabling the user to input explicit information (12) relating to the explicit representation (11) of semantics. The system comprises a visualization unit (4) for visualizing at least part of the explicit representation (11) to the user while the user is still inputting the free text (10).

Abstract: A system for processing a report, comprising a natural language processing unit (1) for processing a natural language textual report to detect a description of a reference to at least part of a data object, wherein the description is expressed in natural language as a part of the natural language textual report. The system comprises an accessing unit (2) for accessing said at least part of the data object in a collection of data objects, based on the reference. The system comprises an associating unit (3) for associating the accessed at least part of the data object with the description of the reference. The natural language processing unit (1) comprises a view parameter extraction unit (4) for extracting a view parameter indicative of a view of the data object from the description of the reference.

Abstract: A system for processing at least one document (7) comprising a text, wherein the system comprises an associating unit (1) arranged for associating a first part of said at least one document with a second part of said at least one document, based on a similarity of semantic data associated with text comprised in the first part and semantic data associated with text comprised in the second part. A semantic data generator (2) is arranged for generating semantic data associated with at least part of the text, wherein the semantic data comprises an explicit representation of semantic information expressed by at least part of the text. A selector (3) is arranged for enabling a user to select the first part of the document.

Abstract: A method for identifying relevant follow-up recommendations from medical reports includes identifying with a processor follow-up recommendations in electronically formatted prior medical reports, and visually presenting, via a display monitor, the identified follow-up recommendations. A computing apparatus (102) including a processor that obtains, in electronic format, an imaging examination order for a follow-up imaging examination of a patient, wherein the imaging examination order at least includes a unique identification of the patient, retrieves electronically formatted prior medical reports of the patient from a data repository based on the patient or the unique identification of the patient, identifies follow-up imaging recommendations in the retrieved electronically formatted prior medical reports, and visually presents the identified follow-up imaging recommendations.

Abstract: A system, method and computer readable storage medium for retrieving a narrative report for at least one study including a plurality of images of a patient from a memory, determining text structure boundaries to identify and classify each text structure in the narrative report, determining image references in each text structure of the narrative report, extracting image references from text structures classified as including an image reference and determining a study to which an extracted image reference corresponds.

Abstract: File comparing device includes a comparator for comparing a first and second content identifiers, of respective files, with each other. Each file having at least two content identifiers and each content identifier is defined by at least one parameter. In addition a selector is included for selecting, using the parameters of the content identifiers, sub-groups of content identifiers, to increase flexibilities. Calculators calculate functions of the values of the parameters and further comparators compare the functions with thresholds. Content identifiers may be defined by cost and accuracy parameters. Then, calculators calculate first functions of the values of the cost parameters and calculate second functions of the values of the accuracy parameters and further comparators compare the first functions with first thresholds and compare the second functions with second thresholds.

Abstract: A system for generating a view of a medical image comprises an input (1) for receiving information indicative of a suspected diagnosis of a patient. An input (2) for receiving a medical image of the patient. A mapper (3) for mapping the suspected diagnosis of the patient to a set of viewing parameters for viewing the medical image. A view generator (8) for providing a view of the medical image in accordance with the set of viewing parameters. A database (4) for mapping a suspected diagnosis into a set of generic viewing parameters. A transformer (5) for transforming the set of generic viewing parameters into a set of image-specific viewing parameters based on content of the medical image.

Abstract: A system and method for presenting summarized information of medical reports. The system and method receiving a plurality of medical reports, each medical report including a plurality of sections, each of the sections including text content, correlating corresponding sections of each of the medical reports into section types, extracting the text content of the sections of the medical reports for a selected section type and aggregating, into a single display, the text content of the sections of all the medical reports for the selected section type.

Abstract: A method and a report viewer for viewing a structured report, such as medical report describing radiological images using descriptors selected from a predefined list of descriptors, includes the acts of opening the medical report; and in response to the opening act, searching for a further report related to the descriptors of the medical report, and highlighting words and/or sentences in the further report that match keywords derived from the descriptors. The medical report and the further report may be displayed simultaneously with the words and/or sentences being highlighted. The further report may include an unstructured text report, and the method further includes mapping the descriptors to findings in the text report and highlighting the findings.

Abstract: Described herein are systems and methods for intelligently combining medical findings received across different modalities. The system comprises an extraction module extracting contextual information from an image of an area of interest including annotations, a feature selection module building a current feature vector using the extracted contextual information and the annotations, and a referencing engine computing a similarity score between the current feature vector and a prior feature vector of a prior image. The method comprises extracting contextual information from an image of an area of interest including annotations, building a current feature vector using the extracted contextual information and the annotations, and computing a similarity score between the current feature vector and a prior feature vector of a prior image.

Abstract: The invention relates to a system (SYS) for automatically extracting a location of an abnormality with respect to an anatomical structure from a report, the system comprising a tokenizer (U10) for tokenizing the report or a part of it, thereby producing a plurality of tokens, and an analyzer (U20) for identifying a semantic structure comprising identified tokens of the plurality of tokens, describing the location of the abnormality with respect to the anatomical structure. Optionally, the system further comprises a mapper (U30) for annotating a diagram representing the anatomical structure, based on the identified semantic structure describing the location of the abnormality with respect to the anatomical structure. Using the system, the location of the abnormality with respect to the anatomical structure can be extracted from each report of the plurality of reports produced over the period of time. The extracted locations may be used by a clinician for diagnostic purposes.