Koninklijke Philips Corporation N.v.

Kunal Vaidya

Ameet Kumar Jain

Shyam Bharat

Ramon Quido Erkamp

Alvin Chen

Francois Guy Gerard Marie Vignon

Molly Lara Flexman

Hendrik Roelof Stapert

Sibo Li

Alyssa Torjesen

Douglas Allen Stanton

Harm Jan Willem Belt

Franciscus Hendrikus Van Heesch

Mischa Megens

Stefan Van De Pas

Jeroen Kortsmit

Mustafa Hakan Gokgurler

Mingxin Zheng

Jean-Luc Francois-Marie Robert

Vijay Parthasarathy

Man Nguyen

Paul Thienphrapa

Grzegorz Andrzej Toporek

Haytham Elhawary

Marcin Arkadiusz Balicki

Maxim Fradkin

Atul Gupta

Sean Joseph Kyne

Benoit Jean-dominique Bertrand Maurice Mory

Brian Lee

Cosmas Mwikirize

Vipul Shrihan Pai Raikar

Gunther Lamparter

Jain Ameet

Vipul Shrihari Pai Raikar

A system for localizing a three-dimensional field of view of a beamforming ultrasound imaging probe based on a position indicator disposed within said field of view. The beamforming ultrasound imaging probe transmits and receives ultrasound signals within a three-dimensional field of view comprising a plurality of predetermined sub-volumes, each sub-volume being defined by a two dimensional array of beams. A controller causes the beamforming ultrasound imaging probe to scan the sub-volumes sequentially by transmitting and receiving ultrasound signals corresponding to each beam. A tracking system determines a position of the position indicator within the three-dimensional field of view; and determines a sub-volume in which the position indicator is located. The controller causes the beamforming ultrasound imaging probe to provide a localized field of view including the position of the position indicator by constraining the transmitting and receiving of ultrasound signals to a portion of the sub-volume in which the position indicator is located.

Ultrasound-based device localization

An end effector state estimation system for use in minimally invasive surgery (MIS) applications performs sensing and prediction algorithms to determine and visualize the state of an implantable therapeutic device during deployment. The end effector state estimation system includes a flexible elongate member, a therapeutic device coupled to a distal portion of the flexible elongate member, a sensor that measures at least one parameter related to the deployment state of the therapeutic device, and a processor. The processor receives image data from an imaging system representative of the therapeutic device positioned within the body cavity of the patient and the at least one parameter from the sensor, determines the deployment state of the therapeutic device based on the image data and the at least one parameter, outputs a graphical representation of the deployment state of the therapeutic device.

Medical imaging systems, devices, and methods for visualizing a deployment state of an intracorporeal therapeutic device

The following relates generally to systems and methods of transesophageal echocardiography (TEE) automation. Some aspects relate to a TEE probe with ultrasonic transducers on a distal end of the TEE probe. In some implementations, if a target is in a field of view (FOV) of the ultrasonic transducers, an electronic beam steering of the probe is adjusted; if the target is at an edge of the FOV, both the electronic beam steering and mechanical joints of the probe are adjusted; and if the target is not in the FOV, only the mechanical joints of the probe are adjusted.

Hybrid robotic-image plane control of a tee probe

An acoustic imaging apparatus and method receive a sensor signal from a passive sensor disposed on a surface of an intervention device which is disposed in an area of interest, wherein the passive sensor is located at a fixed distance from the tip of the intervention device. A processor is configured to ascertain an estimated range of locations of the tip of the intervention device in an image plane by using the sensor signal and an estimated effective distance, projected onto the image plane, from the passive sensor to the tip of the intervention device.

System and method for estimating location of tip of intervention device in acoustic imaging

A controller () for determining a shape of an interventional medical device in an interventional medical procedure based on a location of the interventional medical device includes a memory () that stores instructions and a processor () that executes the instructions. The instructions cause a system () that includes the controller () to implement a process that includes obtaining (S) the location of the interventional medical device () and obtaining (S) imagery of a volume that includes the interventional medical device. The process also includes applying (S), based on the location of the interventional medical device (), image processing to the imagery to identify the interventional medical device () including the shape of the interventional medical device (). The process further includes (S) segmenting the interventional medical device () to obtain a segmented representation of the interventional medical device (). The segmented representation of the interventional medical device () is overlaid (S) on the imagery.

Passive-ultrasound-sensor-based initialization for image-based device segmentation

A method for tracking an interventional medical device in a patient includes interleaving, by an imaging probe external to the patient, a pulse sequence of imaging beams and tracking beams to obtain an interleaved pulse sequence. The method also includes transmitting, from the imaging probe to the interventional medical device in the patient, the interleaved pulse sequence. The method further includes determining, based on a response to the tracking beams received from a sensor on the interventional medical device, a location of the sensor in the patient.

Interleaved imaging and tracking sequences for ultrasound-based instrument tracking

A controller for reducing noise in an ultrasound environment includes memory that stores instructions; and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to execute a process that includes controlling emission, by an ultrasound probe, of multiple beams each at a different combination of time of emission and angle of emission relative to the ultrasound probe. The process also includes identifying repetitive noise from a first source received with the imaging beams at a sensor on an interventional medical device, including a rate at which the repetitive noise from the first source repeats and times at which the repetitive noise from the first source is received. The process also includes interpolating signals based on the imaging beams received at the sensor to offset the repetitive noise from the first source at the times at which the repetitive noise from the first source is received.

Noise reduction for ultrasound operations

An apparatus for performing a medical procedure is disclosed. The apparatus includes a sensor adapted to convert an ultrasonic signal incident thereon into an electrical signal; and a wireless transceiver configured to receive the electrical signal from the sensor, and to transmit the electrical signal to a wireless receiver remotely located from the apparatus.

Smart tracked interventional tools including wireless transceiver

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound transducer array, a plurality of images of a patient body at different imaging planes; determine a first imaging plane based on a first image of the plurality of images by applying a first predictive network, wherein a second image of the plurality of images is based on the first imaging plane, and wherein the second image includes an imaging view of at least one of an anatomy of the patient body or a medical device within the anatomy; apply a second predictive network to the second image to generate segmentation data; and output, to a display, a displayed image including an indication of a first portion of the at least one of the anatomy or the medical device based on the segmentation data.

Automatic closed-loop ultrasound plane steering for target localization in ultrasound imaging and associated devices, systems, and methods

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.

Segmentation and view guidance in ultrasound imaging and associated devices, systems, and methods

System () for determining a position of an interventional device () respective an image plane () defined by an ultrasound imaging probe (). The position is determined based on ultrasound signals transmitted between the ultrasound imaging probe () and an ultrasound transducer () attached to the interventional device (). An image reconstruction unit (IRU) provides a reconstructed ultrasound image (RUI). A position determination unit (PDU) computes a lateral position (LAP) of the ultrasound transducer () respective the image plane () based on a time of flight (TOF) of a maximum detected intensity (I) ultrasound signal. The position determination unit (PDU) also computes an out-of-plane distance (D) between the ultrasound transducer () and the image plane (). Computing the out-of-plane distance (D) involves comparing the maximum detected intensity (I) with a model (MO) describing an expected variation of in-plane maximum detected intensity (I) with time of flight.

Tracking an interventional device within an ultrasound image plane

A controller () for simultaneously tracking multiple sensors in a medical intervention includes a circuit (-) that causes the controller () to execute a process. The process executed by the circuit (-) includes receiving first and second signals respectively from a first and a second passive ultrasound sensor (S) used in the medical intervention. The first and second signals respectively include first and second sensor information indicative of respective locations of the first and the second passive ultrasound sensor (S). The process executed by the circuit (-) also includes combining () the first signal and the second signal for transmission over only one channel, and providing the first signal and the second signal over the only one channel to a system () that determines the location of the first passive ultrasound sensor (S) and the location of the second passive ultrasound sensor (S) and that has only the one channel to receive the first signal and the second signal.

Simultaneous sensor tracking in medical interventions

A controller for determining shape of an interventional device includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to execute a process that includes controlling an imaging probe to emit at least one tracking beam to an interventional medical device over a period of time comprising multiple different points of time. The process also includes determining a shape of the interventional medical device, based on a response to the tracking beams received over the period of time from a first sensor that moves along the interventional medical device during the period of time relative to a fixed location on the interventional medical device for the period of time.

Sensor-based shape identification

System () for determining a position of an interventional device () respective an image plane () defined by an ultrasound imaging probe (). The position is determined based on ultrasound signals transmitted between the ultrasound imaging probe () and an ultrasound transducer () attached to the interventional device (). An image reconstruction unit (IRU) provides a reconstructed ultrasound image (RUI). A position determination unit (PDU) computes a position (LAP) of the ultrasound transducer () respective the image plane (). The position determination unit (PDU) indicates the computed position (LAP) in the reconstructed ultrasound image (RUI). The position determination unit (PDU) suppresses the indication of the computed position (LAP) under specified conditions relating to the computed position (LAP) and the ultrasound signals.

Interventional device positioning relative to an ultrasound image plane

A system () performs a medical procedure in a region of interest of a patient. The system includes an interventional medical device () insertable into the region of interest, and a sensor () attached to a portion of the interventional device, the sensor being configured to convert an ultrasonic wave from an ultrasound imaging probe () to a corresponding electrical radio frequency (RF) signal. The corresponding RF signal is received by a wireless receiver () outside the region of interest, enabling determination of a location of the sensor within the region of interest.

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Boston, MA, United States of America

Kunal Vaidya