# US 12,599,438 B2 · Determining end point locations for a stent > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,599,438 B2 - Document ID: US12599438B2 - Status: Granted - Kind: B2 - Application number: 18/286,398 - Filed: 2022-04-06 - Published: 2024-06-20 - Granted: 2026-04-14 - Earliest claimed: 2021-04-16 - Assignees: Koninklijke Philips N.V. - Applicants: Koninklijke Philips N.V. - Inventors: Vincent Maurice André Auvray; Stéphane Allaire - Web page: https://patentgrep.com/patent/US12599438B2 ## CPC - A61B 34/20: Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis - A61B 6/12: Arrangements for detecting or locating foreign bodies - A61B 6/463: {characterised by displaying multiple images or images and diagnostic data on one display} - A61B 6/469: {for selecting a region of interest [ROI]} - A61B 6/486: {involving generating temporal series of image data} - A61B 6/504: {for diagnosis of blood vessels, e.g. by angiography} - A61B 6/5247: {combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound} - A61B 8/0891: {for diagnosis of blood vessels} - A61B 8/12: in body cavities or body tracts, e.g. by using catheters - A61B 8/5223: {for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012)} - A61B 8/5261: {combining images from different diagnostic modalities, e.g. ultrasound and X-ray} - G06T 7/0016: {involving temporal comparison} - G06T 7/11: Region-based segmentation - G06T 7/337: {involving reference images or patches} - G06T 7/60: Analysis of geometric attributes - A61B 5/0066: {Optical coherence imaging} - A61B 5/0084: {for introduction into the body, e.g. by catheters (A61B5/1459 takes precedence)} - A61B 5/6852: {Catheters} - A61B 5/7267: {involving training the classification device} - A61B 6/4441: {the rigid structure being a C-arm or U-arm} - A61B 2034/2065: {Tracking using image or pattern recognition} - A61F 2/82: Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents (stent-grafts for tubular structures of the body other than blood vessels A61F2/04; stent-grafts for blood vessels A61F2/07) - G06T 2207/10016: Video; Image sequence - G06T 2207/10116: X-ray image - G06T 2207/20101: Interactive definition of point of interest, landmark or seed - G06T 2207/30101: Blood vessel; Artery; Vein; Vascular - G06T 2207/30204: Marker - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - A61F: FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS (dental prosthetics A61C) ## Abstract A system (100) for determining a suitability of positions along a lumen (110) as end point locations for a stent, includes one or more processors (120) configured to: receive (S110), from an intraluminal imaging device (130), a temporal sequence of intraluminal images (1401 . . . n) representing positions along the lumen (110), including at least a first intraluminal image (140i⊂1 . . . n); and identify (S120), whether or not the first intraluminal image (140i⊂1 . . . n) represents a suitable end point location for the stent. ## Claims ### Claim 1 A system for determining a suitability of positions along a lumen as end point locations for a stent, the system comprising at least one processor configured to: receive, from an intraluminal imaging device, a temporal sequence of intraluminal images representing the positions along the lumen, wherein the temporal sequence of intraluminal images includes at least a first intraluminal image; analyse the temporal sequence of intraluminal images using an artificial intelligence algorithm; and identify whether or not the first intraluminal image represents a suitable end point location for the stent based on the analysing. ### Claim 2 (depends on 1) The system according to claim 1, wherein the temporal sequence of intraluminal images represent intra-procedural images, and wherein the at least one processor is configured to: receive, from the intraluminal imaging device, a temporal sequence of pre-procedural intraluminal images representing the lumen; analyse the temporal sequence of pre-procedural intraluminal images to determine whether the temporal sequence of pre-procedural intraluminal images represent one or more suitable end point locations for the stent; and compare the first intraluminal image with the temporal sequence of pre-procedural intraluminal images to identify a matching pre-procedural intraluminal image, and wherein the identifying whether or not the first intraluminal image represents the suitable end point location is based on the matching pre-procedural intraluminal image. ### Claim 3 (depends on 2) The system according to claim 2, wherein the comparing the first intraluminal image with the temporal sequence of pre-procedural intraluminal images to identify the matching pre-procedural intraluminal image comprises: comparing one or more neighbouring intraluminal images of the first intraluminal image with one or more corresponding neighbouring images from the temporal sequence of pre-procedural intraluminal images to determine whether a match exists. ### Claim 4 (depends on 1) The system according to claim 1, wherein the analysing the temporal sequence of intraluminal images comprises: segmenting the temporal sequence of intraluminal images; and comparing a measurement of the lumen represented in the segmented temporal sequence of intraluminal images with an expected measurement and/or comparing a shape of the lumen represented in the segmented temporal sequence of intraluminal images with an expected shape. ### Claim 5 (depends on 1) The system according to claim 1, wherein the analysing the temporal sequence of intraluminal images comprises: determining whether or not the temporal sequence of intraluminal images represent at least one of: a healthy region of the lumen, a confluence in the lumen, a compression in the lumen, or a thrombosis in the lumen. ### Claim 6 (depends on 1) The system according to claim 1, wherein the at least one processor is further configured to: output, to a display, a result of the analysing the temporal sequence of intraluminal images; and/or output, to the display, an X-ray image including a position along the lumen represented by the first intraluminal image. ### Claim 7 A system for determining a suitability of positions along a lumen as end point locations for a stent, the system comprising at least one processor configured to: receive, from an intraluminal imaging device, a temporal sequence of intraluminal images representing the positions along the lumen, wherein the temporal sequence of intraluminal images includes at least a first intraluminal image representing a first position along the lumen and a second intraluminal image representing a second position along the lumen; receive a first X-ray image and a second X-ray image, the first X-ray image and the second X-ray image being generated contemporaneously with the first intraluminal image and the second intraluminal image, respectively; and identify whether or not the first intraluminal image and the second intraluminal image represent suitable end point locations for the stent. ### Claim 8 (depends on 7) The system according to claim 7, wherein the at least one processor is further configured to: determine the first position of the first intraluminal image in the first X-ray image and the second position of the second intraluminal image in the second X-ray image. ### Claim 9 (depends on 8) The system according to claim 8, wherein the at least one processor is further configured to: perform a mapping of the first position of the first intraluminal image from the first X-ray image to the second X-ray image; and/or perform the mapping of the second position of the second intraluminal image from the second X-ray image to the first X-ray image. ### Claim 10 (depends on 9) The system according to claim 9, wherein the intraluminal imaging device further comprises a plurality of fiducial markers disposed axially along a length of the device, wherein the first X-ray image, when the mapping of the second position is performed, or the second X-ray image, when the mapping of the first position is performed, includes one or more of the plurality of fiducial markers between the first and second positions of the first and second intraluminal images, respectively; and wherein the at least one processor is further configured to: compute a length of a portion of the lumen between the first and second positions of the first and second intraluminal images, respectively, based on a count of the one or more of the plurality of fiducial markers between the first and second positions in the first X-ray image, when the mapping of the second position is performed, or the second X-ray image, when the mapping of the first position is performed. ### Claim 11 (depends on 10) The system according to claim 10, wherein the at least one processor is further configured to receive user input confirming the first and second positions along the lumen as representing the suitable end point locations for the stent, and wherein the computing the length of the portion of the lumen is performed automatically and contingent on the receiving the user input. ### Claim 12 (depends on 10) The system according to claim 10, wherein the at least one processor is further configured to output, to a display, the computed length of the portion of the lumen. ### Claim 13 (depends on 9) The system according to claim 9, wherein the mapping comprises: performing an image-based registration between the first and second X-ray images; computing a spatial transform between corresponding image features in the first and second X-ray images based on the image-based registration, and wherein the mapping is performed based on the computed spatial transform. ### Claim 14 (depends on 8) The system according to claim 8, wherein the determining the first position of the first intraluminal image in the first X-ray image and the second position of the second intraluminal image in the second X-ray image comprises detecting a position of an imaging portion of the intraluminal imaging device by: executing a computer vision object detection technique; segmenting the first and second X-ray images; and/or applying an artificial intelligence algorithm trained to detect the imaging portion of the intraluminal imaging device, to the first and second X-ray images. ### Claim 15 (depends on 14) The system according to claim 14, wherein the determining the first position of the first intraluminal image in the first X-ray image and the second position of the second intraluminal image in the second X-ray image comprises: offsetting the detected position of the imaging portion along the lumen by a predetermined distance representing a difference in the position between the imaging portion and a region of the lumen imaged by the intraluminal imaging device. ### Claim 16 (depends on 7) The system according to claim 7, wherein the first and second intraluminal images are selected automatically from the temporal sequence of intraluminal images in response to a generation of the first and second X-ray images, respectively. ### Claim 17 (depends on 7) The system according to claim 7, wherein the temporal sequence of intraluminal images represent intra-procedural images, and wherein the at least one processor is further configured to: receive, from the intraluminal imaging device, a temporal sequence of pre-procedural intraluminal images representing the lumen; analyse the temporal sequence of pre-procedural intraluminal images to determine whether the temporal sequence of pre-procedural intraluminal images represent one or more suitable end point locations for the stent; compare the first and second intraluminal images with the temporal sequence of pre-procedural intraluminal images to identify respective first and second matching pre-procedural intraluminal images, wherein the identifying whether or not the first intraluminal image and the second intraluminal image represent the suitable end point locations is based on the first and second matching pre-procedural intraluminal images. ### Claim 18 (depends on 17) The system according to claim 17, wherein the at least one processor is further configured to output, to a display, at least one of: the first and/or second intraluminal image; or the first and/or second X-ray image. ### Claim 19 (depends on 17) The system according to claim 17, wherein the at least one processor is further configured to output, to a display, at least one of: a result of the analysing the temporal sequence of pre-procedural intraluminal images; or a result of the identifying the first and/or second matching pre-procedural intraluminal images.