Koninklijke Philips Corporation N.v.

National Institutes of Health, a Component of the US Dept. of Health & Human Services

Sandeep M Dalal

Jochen Kruecker

Amir Mohammad Tahmasebi Maraghoosh

Vijay Parthasarathy

Cynthia Ming-fu Kung

Ranjith Naveen Tellis

Olga Starobinets

Hareesh Chamarthi

Shyam Bharat

Bradford Johns Wood

Ehsan Dehghan Marvast

Sheng Xu

Yuchen Qian

Karen Irene Trovato

Yuechen Qian

Christopher Stephen Hall

Merlijn Sevenster

Douglas Allen Stanton

Shriram Sethuraman

Ajay Anand

Paul Joseph Chang

Ananth Ravi

Xin Liu

Antonio Bonillas Vaca

Niranjan Venugopal

Jurgen Jan Rusch

A non-transitory computer readable medium () stores instructions executable by at least one electronic processor () to perform a method () for supporting remote experts (RE) in assisting local operators (LO) of respective medical imaging devices () during medical imaging examinations. The method includes: determining, in response to a calling local operator placing a call to a called remote expert, a context of the calling local operator based on at least one feed (W,) of a workspace of the calling local operator; retrieving, from a database (), a view configuration () for a determined user interface (UI) view based on the determined context; and controlling a display device () to display the determined UI view based on the retrieved view configuration.

System and method to intelligently adapt the arrangement of content displays according to workflow context

An apparatus provides remote assistance to a local operator of a medical imaging device disposed in a medical imaging device bay via a communication link from a remote location that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation disposed at the remote location including at least one workstation display. At least one electronic processor is programmed to, over the course of a medical imaging examination performed using the medical imaging device: extract successive image frames from video or screen sharing of a controller display of the medical imaging device; screen-scrape information related to the medical imaging examination from the successive image frames over the course of the medical imaging examination; maintain status information on the medical imaging examination at least in part using the screen-scraped information; and output an alert perceptible at the remote location when the status information on the medical imaging examination satisfies an alert criterion.

Camera view and screen scraping for information extraction from imaging scanner consoles

An apparatus for use with a medical imaging device () operative in conjunction with a contrast injector () to perform a contrast enhanced medical imaging procedure. The apparatus includes: an alert output device (), and at least one electronic processor () operatively connected with the alert output device and programmed to: extract image frames from video or screen sharing () of a display ('); screen-scrape injector settings of the contrast injector from the image frames; and output an alert () via the alert output device if the screen-scraped injector settings satisfy an alert criterion.

Automated system for error checking injection parameters during imaging exams

A system () includes a processor () configured to generate () an unauthorized imaging order () for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive () an authorized imaging order () for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge () that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.

Closed-loop radiological follow-up recommendation system

An apparatus () provides remote assistance to a local operator of a medical imaging device () disposed in a medical imaging device bay () via a communication link () from a remote location () that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation () disposed at the remote location including at least one workstation display (). At least one electronic processor () is programmed to, over the course of a medical imaging examination performed using the medical imaging device: extract successive image frames from video () or screen sharing () of a controller display (') of the medical imaging device; screen-scrape information related to the medical imaging examination from the successive image frames over the course of the medical imaging examination; maintain status information on the medical imaging examination at least in part using the screen-scraped information; and output an alert () perceptible at the remote location when the status information on the medical imaging examination satisfies an alert criterion.

A system () includes an end point prediction engine () that predicts an end point () using a machine learning model () and one or more clinical report objects () for a patient, wherein the machine learning model inputs the one or more clinical report objects and outputs the predicted end point according to phrases or n-grams in the one or more clinical report objects. An end point visualization interface () visualizes the predicted end point () using a scorecard () or a timeline (). An end point modeling engine () generates the machine learning model from training data that includes validated end points () and clinical report objects ().

Summarization of clinical documents with end points thereof

A training system and method includes a subject phantom () capable of being visualized on a display (). A spatial tracking system () is configured to track an interventional instrument () in subject phantom space. A simulation system () is configured to generate a simulated abnormality in the phantom space and to simulate interactions with the simulated abnormality to provide feedback and evaluation information to a user for training the user in an associated procedure related to the abnormality.

Tumor ablation training system

An electromagnetic field quality assurance system employing an electromagnetic field generator () for emitting an electromagnetic field (), and one or more quality assurance electromagnetic sensors () for sensing the emission of the electromagnetic field (). The system further employs a quality assurance controller () for assessing a tracking quality of the electromagnetic field () derived from a monitoring of a sensed position of each quality assurance electromagnetic sensor () within a field-of-view of the electromagnetic field (). The electromagnetic field generator (), an ultrasound probe (), an ultrasound stepper () and/or a patient table () may be equipped with the quality assurance electromagnetic sensor(s) ().

Tracking quality control for electromagnetic guidance

An electromagnetic ('EM') tracking configuration system employs an EM quality assurance ('EMQA') () and EM data coordination (&#x201c;DC&#x201d;) system (). For the EMQA system (), an EM sensor block () includes EM sensor(s) () positioned and oriented to represent a simulated electromagnetic tracking of interventional tool(s) inserted through electromagnetic sensor block () into an anatomical region. As an EM field generator () generates an EM field () encircling EM sensor(s) (), an EMQA workstation () tests an EM tracking accuracy of an insertion of the interventional tool(s) through the EM sensor block () into the anatomical region. For the EMDC system (), as EM field generator () generates EM field () encircling a mechanical interaction of EM calibration tool(s) () with a grid () for guiding interventional tool(s) through gird () into an anatomical region, the electromagnetic data coordination workstation () establishes a coordination system for electromagnetically tracking an insertion of the interventional tool(s) through grid () into the anatomical region.

Quality assurance and data coordination for electromagnetic tracking systems

A system for ablation planning and treatment includes a delineation module () configured to distinguish tissue types in an image, the tissue types including at least a core tissue and a margin zone encapsulating the core tissue. A treatment planning module () is configured to apply weightings in a cost function to prioritize ablation coverage of the tissue types including the core tissue and the margin zone to determine ablation characteristics that achieve an ablation composite in accordance with user preferences. A graphical user interface () is rendered on a display to indicate the core tissue, the margin zone, the ablation composite and permit module user selection of one or more treatment methods.

System and method for tumor ablation treatment planning including core tumor, margin and healthy tissue coverage

The invention relates to an assisting apparatus for assisting in performing brachytherapy. The position of an introduction element () like a catheter is tracked particularly by using electromagnetic tracking, while a group of seeds is introduced into a living object (). 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.

Assisting apparatus for assisting in performing a brachytherapy

A system and method for ablation planning includes defining () shapes and sizes for one or more ablation volumes based on probability of treatment, and determining () a target volume to be treated. A procedure plan is provided () by determining a number and location of planned ablations within the target volume using the one or more ablation volumes. A joint probability distribution () is determined for at least two planned ablations in the target volume. A final configuration is visualized () to determine if plan objectives are met based on a probability of treatment for the target volume.

System and method for probabilistic ablation planning

A device, system and method for accessing internal tissue include a probe () disposed on a distal end portion of a medical device and configured to be inserted into a body along a trajectory path. A sensor () is mounted on a displacement tracker portion () of the medical device which is disposed on a proximal end portion of the device. The sensor is configured to measure a distance parallel to the probe between the displacement tracker portion and a tissue surface such that a position of the probe is determinable relative to the tissue surface upon advance or retraction of the probe along the trajectory path.

Displacement feedback device and method for sensing or therapy delivery probes

A method, system, and program product are provided for providing a medical tracking interface. The method comprises the steps of: receiving tracking data from at least one tracking tool in any one of a plurality of data formats; converting the tracking data to a uniform data format; and outputting the tracking data in the uniform data format to an IGI application.

Interventional information brokering medical tracking interface

A therapy planning and image guidance and navigation for an interventional procedure are combined in one system. The system includes: a radio frequency ablation therapy planning component () capable of creating an initial treatment plan, adjusting the treatment plan to take into account data received during a procedure and transferring a treatment plan to a navigation component, a navigation system component () to guide an ablation probe () and a feedback sub-system () for determining actual ablation probe positions/orientations and actual ablation size/shape via imaging () and/or tracking () systems, and enabling exchange of information between the planning component and the navigation component. By combining and integrating procedure planning and navigation, and by providing feedback from the navigation component back to the planning component about actual electrode position and orientation and ablation volume, complex procedures can be carried out more accurately, efficiently, and potentially with better clinical outcomes.

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Cortlandt Manor, NY, United States of America

Sandeep M Dalal