# US 2026/0076647 A1 · Echocardiogram unit for mechanical assist devices > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0076647 A1 - Document ID: US20260076647A1 - Status: Published application - Kind: A1 - Application number: 19/328,242 - Filed: 2025-09-15 - Published: 2026-03-19 - Earliest claimed: 2024-09-17 - Assignees: Ultrasight Ltd - Applicants: Ultrasight Ltd. - Inventors: Itay KEZURER; Jonathan SHLOMI - Web page: https://patentgrep.com/patent/US20260076647A1 ## CPC - A61B 8/4245: {involving determining the position of the probe, e.g. with respect to an external reference frame or to the patient} - A61B 8/04: Measuring blood pressure - A61B 8/0883: {for diagnosis of the heart} - A61B 8/463: {characterised by displaying multiple images or images and diagnostic data on one display} - A61B 8/5207: {involving processing of raw data to produce diagnostic data, e.g. for generating an image} - A61B 8/58: {Testing, adjusting or calibrating the diagnostic device} - A61B 8/0891: {for diagnosis of blood vessels} - A61B 8/12: in body cavities or body tracts, e.g. by using catheters - A61B 2090/3925: {ultrasonic} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract An ultrasound scanning unit for assessing an implanted device within a body part includes a structural reference identifier and a structural reference measurer. The structural reference identifier receives one or more ultrasound images of a heart. From the images, it identifies and locates an anatomical structural reference, such as an aortic annulus, and a device structural reference, such as an inlet of a mechanical assist device. The structural reference measurer calculates a spatial relationship, like a distance, between the identified references to provide a positional assessment of the implanted device. The unit can also include a navigator to generate orientation instructions for guiding a user in positioning an ultrasound probe. A mal-rotation detector determines if the device has an incorrect rotational orientation, and a safe zone generator creates a map of safe and unsafe positions. A pressure-volume loop determiner also generates a pressure-volume loop to assess myocardial contractility. ## Claims ### Claim 1 A unit for assessing a position of an implanted device within a body part, said unit comprising: a structural reference identifier configured to receive one or more ultrasound images, and to identify and to locate therefrom, at least one anatomical structural reference of said body part and at least one device structural reference of said implanted device. ### Claim 2 (depends on 1) The unit of claim 1, and also comprising a structural reference measurer configured to calculate a spatial relationship between said at least one anatomical structural reference and said at least one device structural reference to provide a positional assessment of said implanted device. ### Claim 3 (depends on 2) The unit of claim 2, wherein said implanted device is a mechanical assist device, said body part is a heart, said at least one anatomical structural reference is an aortic annulus, said device at least one structural reference is an inlet of said mechanical assist device, and said spatial relationship is a distance. ### Claim 4 (depends on 2) The unit of claim 2, wherein said structural reference identifier comprises a machine learning model trained to identify and locate said at least one anatomical and device structural references and to determine a visibility level for said anatomical and device structural references. ### Claim 5 (depends on 4) The unit of claim 4, further comprising a validator to receive said one or more ultrasound images as a sequence of frames and to permit said structural reference measurer to measure said references only when said at least one anatomical structural reference and said at least one device structural reference are determined to both be visible for a predefined duration within said sequence of frames. ### Claim 6 (depends on 2) The unit of claim 2, further comprising a display module configured to generate a graphical overlay on said one or more ultrasound images, said overlay comprising an indication of said spatial relationship. ### Claim 7 (depends on 1) The unit of claim 1, further comprising a display module configured to generate a graphical overlay on said one or more ultrasound images, said overlay comprising a first marker indicating a location of said identified anatomical structural reference and a second marker indicating a location of said identified device structural reference. ### Claim 8 (depends on 1) The unit of claim 1, further comprising an ultrasound navigator to analyze a stream of said one or more ultrasound images and to generate orientation instructions for guiding a user to position an ultrasound probe to acquire a view close to a canonical view of said body part. ### Claim 9 (depends on 3) The unit of claim 3, further comprising a mal-rotation detector to identify one or more surrounding anatomical structures of a left ventricle of said heart within said one or more ultrasound images and to determine whether or not a rotational and/or positional orientation of said implanted device is properly rotated and oriented within said left ventricle. ### Claim 10 (depends on 3) The unit of claim 3, further comprising a safe zone generator trained to identify and delineate boundaries of the left ventricle wall and configured to generate a map of zones overlaid on said one or more ultrasound images, said map of zones indicating safe and unsafe positions for said implanted device. ### Claim 11 (depends on 3) The unit of claim 3 further comprising: a left ventricle volume determiner configured to generate a time-stamped volume of a left ventricle, marked with cardiac cycle events, from said one or more ultrasound images; and a pressure-volume loop determiner configured to synchronize said time-stamped volume with received time-stamped pressure data from said mechanical assist device and to generate a pressure-volume loop therefrom, said pressure-volume loop determiner to mark said loop with said cardiac cycle events. ### Claim 12 (depends on 1) The unit of claim 1 implemented on a mobile computing device having a display to display said one or more ultrasound images and mountable at a point of care near a patient having said device implanted therein. ### Claim 13 (depends on 12) The unit of claim 12 wherein said mobile computing device comprises a barcode scanning functionality to associate data in a database with said patient having said device. ### Claim 14 (depends on 1) The unit of claim 1, said structural reference identifier to operate on said one or more ultrasound images in real-time or offline. ### Claim 15 A modular mounting assembly for a mobile display device, said assembly comprising: a mounting plate; a case detachably coupled to said mounting plate and configured to house said mobile display device; and a clamp component attached to said mounting plate and configured to engage a medical pole. ### Claim 16 (depends on 15) The assembly of claim 15 and also comprising a transducer holder integrated with said mounting plate, said transducer holder configured to receive an ultrasound probe. ### Claim 17 A method for assessing a position of an implanted device within a body part, The method comprising: receiving one or more ultrasound images of said body part with said implanted device; and identifying and locating, from said one or more ultrasound images, at least one anatomical structural reference of said body part and at least one device structural reference of said implanted device. ### Claim 18 (depends on 17) The method according to claim 17, further comprising calculating a spatial relationship between said at least one anatomical structural reference and said at least one device structural reference to provide a positional assessment of said implanted device. ### Claim 19 (depends on 18) The method according to claim 18, wherein said calculating of said spatial relationship comprises calculating a distance between an aortic annulus of a heart and an inlet of a mechanical assist device implanted therein. ### Claim 20 (depends on 18) The method according to claim 18, wherein said identifying and locating are performed using a trained machine learning model, the method further comprising determining, using said trained machine learning model, a visibility level for said anatomical and device structural references. ### Claim 21 (depends on 20) The method according to claim 20, further comprising: receiving said one or more ultrasound images as a sequence of frames; and permitting said calculating of said spatial relationship only when said determined visibility level indicates that said at least one anatomical structural reference and said at least one device structural reference are both visible for a predefined duration within said sequence of frames. ### Claim 22 (depends on 18) The method according to claim 18, further comprising generating a graphical overlay on said one or more ultrasound images, said overlay comprising an indication of said calculated spatial relationship. ### Claim 23 (depends on 17) The method according to claim 17, further comprising generating a graphical overlay on said one or more ultrasound images, said overlay comprising a first marker indicating a location of said identified anatomical structural reference and a second marker indicating a location of said identified device structural reference. ### Claim 24 (depends on 17) The method according to claim 17, further comprising: analyzing a stream of said one or more ultrasound images; and generating orientation instructions for guiding a user to position an ultrasound probe to acquire a view close to a canonical view of said body part. ### Claim 25 (depends on 19) The method according to claim 19, further comprising: identifying one or more surrounding anatomical structures of a left ventricle of said heart within said one or more ultrasound images; and determining whether a rotational or positional orientation of said mechanical assist device is properly rotated and oriented within said left ventricle. ### Claim 26 (depends on 19) The method according to claim 19, further comprising: identifying and delineating boundaries of a left ventricle wall from said one or more ultrasound images; and generating a map of zones overlaid on said one or more ultrasound images, said map of zones indicating safe and unsafe positions for said mechanical assist device. ### Claim 27 (depends on 19) The method according to claim 19, further comprising: generating a time-stamped volume of a left ventricle, marked with cardiac cycle events, from said one or more ultrasound images; receiving time-stamped pressure data from said mechanical assist device; synchronizing said time-stamped volume with said received time-stamped pressure data; generating a pressure-volume loop from said synchronized data; and marking said loop with said cardiac cycle events. ### Claim 28 (depends on 17) The method according to claim 17, further comprising displaying said one or more ultrasound images on a mobile computing device at a point of care near a patient having said device implanted therein. ### Claim 29 (depends on 28) The method according to claim 28, further comprising scanning a barcode to associate data in a database with said patient. ### Claim 30 (depends on 17) The method according to claim 17, wherein said identifying and locating are performed on said one or more ultrasound images in real-time or offline.