Abstract: A system (100) includes a parser engine (120), a context inferring engine (130), and an action selection engine (140). The parser engine (120) detects a recommendation in a received clinical report (112) for a patient. The context inferring engine (130) extracts and normalizes recommendation elements in the detected recommendation. The action selection engine (140) generates a patient actionable clinical report (142) based on the received clinical report and the extracted and normalized recommendation elements.

Abstract: An image interpretation workstation includes a display (12), user input devices (14, 16, 18), an electronic processor (20, 22), and a non-transitory storage medium storing instructions readable and executable by the electronic processor. An image interpretation environment (31) is implemented by instructions (30) which display medical images on the at least one display, manipulate the displayed medical images, generate finding objects, and construct of an image examination findings report (40). Finding object detection instructions (32) monitor the image interpretation environment to detect generation of a finding object or user selection of a finding object. Patient record retrieval instructions (34) identify and retrieve patient information relevant to a finding object (40) detected by the finding object detection instructions from at least one electronic patient record (24, 25, 26).

Abstract: A device, system, and method optimizes usage of prior studies. The method performed by an optimization server includes receiving a request for relevant prior studies for a patient from a practitioner device utilized by a medical professional, the request including a current study for the patient, the relevant prior studies being relevant to the current study. The method includes determining the relevant prior studies from prior studies of the patient based on a personalized model, the personalized model associated with the medical professional, the personalized model indicating a relevance score of the relevant prior studies to the current study. The method includes transmitting the relevant prior studies to the practitioner device.

Abstract: A radiology workstation (10) includes a computer (12) connected to access radiology studies stored in an radiology studies archive (20) with at least one processor (22) programmed to operate the computer to: provide a user interface (24) for performing readings of radiology studies including: displaying images on a display (14) of a current radiology study being read; receiving user inputs via one or more user input devices (16) and operating on the user inputs to manipulate the display of images and to open and view past radiology studies during the reading and to receive a radiology report summarizing the reading and store the radiology report in the radiology studies archive; and recording a activity log of user inputs received via the one or more user input devices during readings of radiology studies.

Abstract: A report-entry workstation (10) includes a computer with a display (14, 16), one or more user input devices (20, 22, 24), and at least one processor (1) programmed to operate the computer to perform operations.

Abstract: The invention relates to an assisting apparatus for assisting in performing brachytherapy. The position of an introduction element (17) like a catheter is tracked particularly by using electromagnetic tracking, while a group of seeds is introduced into a living object (2). This provides a rough knowledge about the position of the seeds within the object. An ultrasound image showing the group is generated depending on the tracked position of the introduction element and, thus, depending on the rough knowledge about the position of the seeds, in order to optimize the ultrasound visualization with respect to showing the introduced seeds. Based on this optimized ultrasound visualization the position of a seed of the group is determined, thereby allowing for an improved determination of seed positions and correspondingly for an improved brachytherapy performed based on the determined positions.

Abstract: A radiology workstation (10) includes a computer (12) connected to receive a stack of radiology images of a portion of a radiology examination subject. The computer includes at least one display component (14) and at least one user input component (16). The computer includes at least one processor (22) programmed to: display selected radiology images of the stack of radiology images on the at least one display component; receive entry of a current radiology report via the at least one user input component and displaying the entered radiology report on the at least one display component; identify a radiology finding by at least one of (i) automated analysis of the stack of radiology images and (ii) detecting textual description of the radiology finding in the radiology report; identify or extract at least one key image from the stack of radiology images depicting the radiology finding; and embed or link the at least one key image with the radiology report.

Abstract: A system and method for identifying a characteristic of a region of a subject, such as whether a region is cancerous, which includes an ultrasonic imaging device that acquires a first and second set of time series data from a region of a subject during a first and second time period. The system includes a comparison device (120) that receives first and second sets of time series data (116, 118) and computes differential data (119) therebetween at one or more features. A processing device (130) receives the differential data and inputs the differential data into a classifier (132) trained with reference differential data concerning the one or more features as well as an identification of the ground truth concerning the region. A determination device (136) is configured to determine whether the region contains the characteristic based on an output from the classifier.

Abstract: A medical imaging apparatus includes a radiology workstation (10) with a workstation display (14) and one or more workstation user input devices (16). A medical imaging device controller (26) includes a controller display (30) and one or more controller user input devices (32). The medical imaging device controller is connected to control a medical imaging device (40) to acquire medical images (44).

Abstract: A system and method for determining a desired action of a user reading a medical image. The system and method retrieving and displaying an image to be read by a user, receiving, via a processor, a contextual cue of the user in response to the displayed image to be read, mapping the contextual cue to a user intention via the processor, and generating an action based on the user intention via the processor.

Abstract: A biopsy reporting system (101) employs a biopsy procedure database (11) and a biopsy reporting controller (102). In operation, the biopsy procedure database (11) stores a biopsy procedure registration and a pathology report. The biopsy procedure registration includes sample tissue data record informative of biopsy extractions of a plurality of biopsy samples from a patient anatomy. The pathology report includes pathological data informative of a pathological diagnosis of each biopsy sample of the plurality of biopsy samples. Responsive to a storage of the biopsy procedure registration and the pathology report within the biopsy procedure database (11), the biopsy reporting controller (102) automatically links the pathology report to the biopsy procedure registration.

Abstract: A radiation therapy delivery system (10) includes an ultrasound imaging unit (26), a radiation therapy delivery mechanism (12, 56, 70, 88), a plurality of fiducials (22, 90) located internal to the subject, an image fusion unit (40), and a delivery evaluation unit (38). The ultrasound imaging unit (26) includes a transducer (30) that emits ultrasonic sound waves to image in real-time an anatomic portion of a subject (16) in a first coordinate system. The radiation therapy delivery mechanism (12, 56, 70, 88) delivers amounts of therapeutic radiation in the anatomic portion of the subject in a second coordinate system. The fiducials (22, 90) include implants or a trans-rectal ultrasound probe (80). The image fusion unit (40) registers locations of the plurality of fiducials to at least one of the first and the second coordinate system and tracks the locations of the fiducials in real-time.

Abstract: The invention relates to a HDR brachytherapy system comprising an ultrasound sensor for being arranged at the location of a brachytherapy catheter (12), wherein the ultrasound sensor is adapted to generate an ultrasound signal based on ultrasound radiation, which has been sent by an ultrasound imaging device preferentially comprising a TRUS probe (40) and which has been received by the ultrasound sensor. The position of the ultrasound sensor is determined based on the generated ultrasound signal, and based on this position of the ultrasound sensor the pose and shape of the brachytherapy catheter and/or the position of a HDR radiation source are determined. This allows for a very accurate determination of the pose and shape of the brachytherapy catheter and/or of the position of the HDR radiation source, which in turn can lead to an improved HDR brachytherapy.

Abstract: A radiology workstation (24) includes at least one display component (30, 32); at least one user input device (28); and at least one microprocessor (26, 34) programmed to generate a contextual ranking of clinical codes for a context received via the at least one user input device (28) and to display information pertaining to the contextual ranking on the display component (30, 32) of the radiology workstation (24). The contextual ranking is computed by the microprocessor from (i) statistics of occurrences of the clinical codes in radiology reports contained in a radiology reports database (10) and satisfying the context and (ii) statistics of the clinical codes in problem lists contained in a problem lists database and satisfying the context.

Abstract: An imaging quality control system (80) employing an imaging quality controller (84) and a monitor (81). In operation, the imaging quality controller (84) executes an image processing of subject image data of the anatomical object (e.g., subject non-segmentation-based or segmentation-based image registration of US, CT and/or MRI anatomical images), and assessing an accuracy of the image processing of the subject image data of the anatomical object as a function of a subject Eigen weight set relative to a training Eigen range set (e.g., previously registered or segmented US, CT and/or MRI anatomical images). The subject Eigen weight set is derived from the subject image data of the anatomical object, and the training Eigen range set is derived from training image data of anatomical object. The monitor (81) displays the assessment of the accuracy of the image processing of the subject image data of the anatomical object by the imaging quality controller (84).

Abstract: The present system is configured to generate adaptive, optimal, intelligent questionnaires for diagnosing depression, ADHD, and/or other medical conditions. The system is configured to train a prediction model based on a database of previously asked and answered questions related to various medical conditions. A questionnaire for a specific patient is determined from the questions in the database based on caregiver supplied criteria including a number of questions the questionnaire should have and a quality metric indicating a desired level of relatedness of the questions in the questionnaire to the patient's medical condition. If the patient decides to not answer one or more questions for any reason, another subset of questions are suggested.

Abstract: A system for registration feedback includes a segmentation module (148) configured to segment a relevant three-dimensional structure in a first image to be registered and to segment a same relevant structure in a second image to be registered to provide three-dimensional segmentations of the first and second images. A registration module (152) is configured to register the three-dimensional segmentations of the first and second images by applying a registration transformation to one of the three-dimensional segmentations to map one three-dimensional segmentation onto the coordinate space of the other.

Abstract: An ultrasound calibration system employs a calibration phantom (20), an ultrasound probe (10) and a calibration workstation (40a). The calibration phantom (20) encloses a frame assembly (21) within a calibration coordinate system established by one or more phantom trackers. In operation, the ultrasound probe (10) acoustically scans an image of the frame assembly (21) within an image coordinate system relative to a scan coordinate system established by one or more probe trackers. The calibration workstation (40a) localizes the ultrasound probe (10) and the frame assembly image (11) within the calibration coordinate system and determines a calibration transformation matrix between the image coordinate system and the scan coordinate system from the localizations.

Abstract: An ultrasound system for performing cancer grade mapping includes an ultrasound imaging device (10) that acquires ultrasound imaging data. An electronic data processing device (30) is programmed to generate an ultrasound image (34) from the ultrasound imaging data, and to generate a cancer grade map (42) by (i) extracting sets of local features from the ultrasound imaging data that represent map pixels of the cancer grade map and (ii) classifying the sets of local features using a cancer grading classifier (46) to generate cancer grades for the map pixels of the cancer grade map. A display component (20) displays the cancer grade map, for example overlaid on the ultrasound image as a color-coded cancer grade map overlay. The cancer grading classifier is learned from a training data set (64) comprising sets of local features extracted from ultrasound imaging data at biopsy locations and labeled with histopathology cancer grades.

Abstract: A system and method for identifying a characteristic of a region of a subject, such as whether a region is cancerous, which includes an ultrasonic imaging device that acquires a first and second set of time series data from a region of a subject during a first and second time period. The system includes a comparison device (120) that receives first and second sets of time series data (116, 118) and computes differential data (119) therebetween at one or more features. A processing device (130) receives the differential data and inputs the differential data into a classifier (132) trained with reference differential data concerning the one or more features as well as an identification of the ground truth concerning the region. A determination device (136) is configured to determine whether the region contains the characteristic based on an output from the classifier.