Abstract: A system and method for training a machine learning module to provide classification and localization information for an image study. The method includes receiving a current image study. The method includes applying the machine learning module to the current image study to generate a classification result including a prediction for one or more class labels for the current image study using User Interface 104 a classification module of the machine learning module. The method includes receiving, via a user interface, a user input indicating a spatial location corresponding to a predicted class label. The method includes training a localization module of the machine learning module using the user input indicating the spatial location corresponding to the predicted class label.

Abstract: A system and method for training a deep learning network with previously read image studies to provide a prioritized worklist of unread image studies. The method includes collecting training data including a plurality of previously read image studies, each of the previously read image studies including a classification of findings and radiologist-specific data. The method includes training the deep learning neural network with the training data to predict an urgency score for reading of an unread image study.

Abstract: Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing a trainable machine learning module (122) trained using training data descriptive of a training data distribution (600) to output a reconstructed medical image (136) in response to receiving measured medical image data (128) as input. The medical system comprises a computational system (104). The execution of machine executable instructions (120) causes the computational system to: receive (200) the measured medical image data and determine (202) the out-of-distribution score and the in-distribution accuracy score consecutively in an order determined a sequence, detect (204) a rejection of the measured medical image data using the out-of-distribution score and/or the in-distribution accuracy score during execution of the sequence, provide (206) a warning signal (134) if the rejection of the measured medical image data is detected.

Abstract: A system, a method and/or a computer-readable storage medium are configured to detect a feature of a rare disease that visually manifests in images generated by an imaging modality at a health care entity based on training with repurposed images of the health care entity. A repurposed image includes values of pixels of an image generated by the imaging modality that does not include the feature and values of pixels of a synthetic feature in a feature image that visually mimics the feature. The feature image is created based on a model and user input. A set of repurposed images are used to train an artificial intelligence algorithm to detect the feature in images. Optionally, the trained artificial intelligence algorithm can be validated with images generated by the imaging modality that include the feature. The trained artificial intelligence algorithm used to detect the feature in an image of a subject.

Abstract: A resource management system for better operation of a plurality of devices. The system comprises an input interface (IN) for receiving input data including one or more characteristics of at least one work object (P1-P3) and/or including context data. The at least one work object (P1-P3) can be processed by one or more processing devices (Mij). The said processing is specified in a respective work specification (S1-S3). A predictor component (PC) of the system is configured to predict, based on the input data, a change to the work specification. The system comprises an output interface (OUT) for providing output data that represents said predicted change.

Abstract: A controller for preparing an image for segmenting includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to perform a process that includes displaying a first modeled tissue structure of a first type, and displaying an image of a first tissue structure of the first type separate from the first modeled tissue structure. The process also includes identifying, on the first modeled tissue structure, landmarks on the first modeled tissue structure for identification on the image of the first tissue structure, and sequentially accentuating each landmark on the first modeled tissue structure. The processor identifies locations on the image of the first tissue structure for each landmark on the first modeled tissue structure. The landmarks on the first modeled tissue structure are mapped to the locations identified on the image of the first tissue structure.

Abstract: In a method of segmenting a medical image, a segmentation of the medical image is displayed (102) to a user, the segmentation comprising a contour representing a feature in the medical image. A user input is then received (104), the user input indicting a correction to the contour in the segmentation of the medical image. A shape constraint is determined (106) from the contour and the indicated correction to the contour and the shape constraint is provided (108) as an input parameter to a segmentation model to perform a new segmentation of the medical image.

Abstract: The invention relates to a system for assisting in evaluating a contour of an anatomic structure (22) with respect to a dose distribution corresponding to a treatment plan for a radiation therapy treatment of a patient. The system comprises an evaluation unit particularly configured to evaluate the dose distribution in varying distances from the contour of the anatomic structure (22) to determine at least one point where the evaluated dose distribution fulfills a predetermined condition, and to determine the distance between the at least one point and the contour and/or to visualize the at least one point to a user of the system.

Abstract: The present disclosure relates to a method for controlling a magnetic resonance imaging guided radiation therapy apparatus comprising a magnetic resonance imaging system.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: The invention relates ultrasound assistance device (20), an ultrasound device including such ultrasound assistance device, a medical system (100) including the same and a corresponding method as well as to a corresponding software product. According to the present invention, a segmentation of first image data (e.g. MRI data) and deformation information is obtained, while the deformation information may be obtained explicitly or implicitly (e.g. from general information of the equipment used and/or from the first image data/the segmentation of the first image data). Such deformation information is used for adjustment (e.g. automatic adjustment or guided adjustment including feedback to a user) for an adjustable ultrasound probe (30, 30?), while the ultrasound image acquired by such adjusted ultrasound probe is then segmented using the segmentation of the first image data.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: The invention relates to a system for assisting in evaluating a contour of an anatomic structure (22) with respect to a dose distribution corresponding to a treatment plan for a radiation therapy treatment of a patient. The system comprises an evaluation unit particularly configured to evaluate the dose distribution in varying distances from the contour of the anatomic structure (22) to determine at least one point where the evaluated dose distribution fulfills a predetermined condition, and to determine the distance between the at least one point and the contour and/or to visualize the at least one point to a user of the system.

Abstract: Presented are concepts for displaying medical images. One such concept generates transformation data by mapping image data of a medical image to a location in an anatomical atlas and by determining a transfer function for transforming image data of the medical image for display. The transfer function is then associated with the location in the anatomical atlas. A medical image can then be displayed by identifying a transfer function associated with a selected location in the anatomical atlas. The identified transfer function is applied to image data of a medical image that is mapped to the selected location in the anatomical atlas so as to obtain transformed image data. A transformed version of the medical image is then displayed based on the transformed image data.

Abstract: The present invention teaches a method and system for computing an alternative electron density map of an examination volume. The processing system is configured to compute a first electron density map using a plurality of imaging data, compute a second electron density map, wherein the second electron density map is a simplified version of the first electron density map, and compute the alternative electron density map, using the first electron density map and the second electron density map.

Abstract: The invention relates to a system and a method for evaluating a treatment plan for an external radiation therapy treatment, the treatment plan comprising parameters for controlling an external radiation therapy apparatus during the treatment. The system comprises a database storing historic treatment plans and storing for each historic treatment plan a quality parameter indicative of whether a deviation between a planned dose distribution and a measured dose distribution resulting from an execution of the treatment plan is within an acceptable limit. An evaluation unit determines a threshold value for each of a plurality of treatment plan metrics based on the historic treatment plans and the associated quality parameters. Further, the evaluation unit calculates a value of each of the metrics for the treatment plan and compares the value of each of the metrics with the threshold value determined for the respective metric.

Abstract: A tracking system for a target anatomy of a patient can include a medical device having a body (281) having a distal end (290) and at least one channel (292) formed therein, where the body is adapted for insertion through an anatomy (105) to reach a target area (430); an accelerometer (185) connected to the body and positioned in proximity to the distal end; an imaging device (295) operably coupled with the body; and a light source (297) operably coupled with the body, where the accelerometer is in communication with a remote processor (120) for transmitting acceleration data thereto, where the imaging device is in communication with the remote processor for transmitting real-time images thereto, and where an orientation of the medical device and calibration of direction with respect to the anatomy is determined by the processor based on the acceleration data.

Abstract: A controller for preparing an image for segmenting includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to perform a process that includes displaying a first modeled tissue structure of a first type, and displaying an image of a first tissue structure of the first type separate from the first modeled tissue structure. The process also includes identifying, on the first modeled tissue structure, landmarks on the first modeled tissue structure for identification on the image of the first tissue structure, and sequentially accentuating each landmark on the first modeled tissue structure. The processor identifies locations on the image of the first tissue structure for each landmark on the first modeled tissue structure. The landmarks on the first modeled tissue structure are mapped to the locations identified on the image of the first tissue structure.

Abstract: A resource management system for better operation of a plurality of devices. The system comprises an input interface (IN) for receiving input data including one or more characteristics of at least one work object (P1-P3) and/or including context data. The at least one work object (P1-P3) can be processed by one or more processing devices (Mij). The said processing is specified in a respective work specification (S1-S3). A predictor component (PC) of the system is configured to predict, based on the input data, a change to the work specification. The system comprises an output interface (OUT) for providing output data that represents said predicted change.

Abstract: A medical apparatus (300, 400, 500) includes a magnetic resonance imaging system (302) for acquiring magnetic resonance data (342) from an imaging zone (308); a processor (330) for controlling the medical apparatus; a memory (336) storing machine executable instructions (350, 352, 354, 356). Execution of the instructions causes the processor to: acquire (100, 200) the magnetic resonance data using a pulse sequence (340) which specifies an echo time greater than 400 ?s; reconstruct (102, 202) a magnetic resonance image using the magnetic resonance data; generate (104, 204) a thresholded image (346) by thresholding the magnetic resonance image to emphasize bone structures and suppressing tissue structures in the magnetic resonance image; and generate (106, 206) a bone-enhanced image by applying a background removal algorithm to the thresholded image.