US 11,869,669 B2
Method and system for image processing to model vasculasture
Ryan Spilker, Arlington, MA (US); David Eberle, San Francisco, CA (US); and Leo Grady, Darien, CT (US)
Assigned to HeartFlow, Inc., Mountain View, CA (US)
Filed by HeartFlow, Inc., Redwood City, CA (US)
Filed on Dec. 20, 2022, as Appl. No. 18/068,604.
Application 18/068,604 is a continuation of application No. 17/510,842, filed on Oct. 26, 2021, granted, now 11,564,746.
Application 17/510,842 is a continuation of application No. 15/795,590, filed on Oct. 27, 2017, granted, now 11,185,368, issued on Nov. 30, 2021.
Application 15/795,590 is a continuation of application No. 15/265,284, filed on Sep. 14, 2016, granted, now 10,390,885, issued on Aug. 27, 2019.
Application 15/265,284 is a continuation of application No. 15/080,955, filed on Mar. 25, 2016, abandoned.
Application 15/080,955 is a continuation of application No. 14/323,300, filed on Jul. 3, 2014, granted, now 9,449,146, issued on Sep. 20, 2016.
Application 14/323,300 is a continuation of application No. 13/782,307, filed on Mar. 1, 2013, granted, now 9,042,613, issued on May 26, 2015.
Prior Publication US 2023/0124826 A1, Apr. 20, 2023
Int. Cl. G16H 50/50 (2018.01); G06T 7/11 (2017.01); G16H 50/20 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G06F 30/20 (2020.01); G06V 40/20 (2022.01); G06V 30/194 (2022.01); G06V 10/40 (2022.01); A61B 34/10 (2016.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06V 10/46 (2022.01)
CPC G16H 50/50 (2018.01) [A61B 34/10 (2016.02); G06F 30/20 (2020.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/20 (2013.01); G06V 10/40 (2022.01); G06V 30/194 (2022.01); G06V 40/20 (2022.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); G06T 2207/20112 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30104 (2013.01); G06V 10/467 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A vascular modeling method, comprising:
receiving patient-specific data imaging data of a vasculature of a patient;
determining that a vessel of the vasculature of the patient includes a plaque;
automatically segmenting the vessel of the patient that includes the plaque;
generating a set of possible treatment options for at least a section of the patient's vasculature having energy losses exceeding a predetermined threshold level, wherein the set of possible treatment options includes all feasible treatment options for the at least the section;
evaluating the set of possible treatment options; and
generating a patient-specific treatment recommendation based on the evaluating the set of possible treatment options.