US 12,109,061 B2
Data-driven plaque determination in medical imaging
Lucian Mihai Itu, Brasov (RO); Tiziano Passerini, Plainsboro, NJ (US); Saikiran Rapaka, Pennington, NJ (US); Puneet Sharma, Princeton Junction, NJ (US); Chris Schwemmer, Forchheim (DE); Max Schoebinger, Hirschaid (DE); Thomas Redel, Poxdorf (DE); and Dorin Comaniciu, Princeton, NJ (US)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by SIEMENS HEALTHINEERS AG, Forchheim (DE)
Filed on Mar. 9, 2021, as Appl. No. 17/195,694.
Application 17/195,694 is a continuation of application No. 16/146,045, filed on Sep. 28, 2018, granted, now 10,993,687.
Application 16/146,045 is a continuation of application No. 15/889,330, filed on Feb. 6, 2018, granted, now 10,111,636, issued on Oct. 30, 2018.
Application 15/889,330 is a continuation of application No. 14/876,852, filed on Oct. 7, 2015, granted, now 9,918,690, issued on Mar. 20, 2018.
Application 14/876,852 is a continuation of application No. 14/804,609, filed on Jul. 21, 2015, granted, now 9,349,178, issued on May 24, 2016.
Claims priority of provisional application 62/083,373, filed on Nov. 24, 2014.
Prior Publication US 2021/0219935 A1, Jul. 22, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/11 (2017.01); A61B 5/00 (2006.01); A61B 5/026 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); A61B 6/50 (2024.01); A61B 8/06 (2006.01); A61B 8/08 (2006.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06T 7/00 (2017.01); G06V 10/42 (2022.01); G06V 10/776 (2022.01); G16H 20/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); A61B 5/02 (2006.01); A61B 6/46 (2024.01); A61B 8/00 (2006.01); G16H 30/20 (2018.01)
CPC A61B 6/5217 (2013.01) [A61B 5/026 (2013.01); A61B 5/7267 (2013.01); A61B 6/032 (2013.01); A61B 6/504 (2013.01); A61B 6/507 (2013.01); A61B 8/06 (2013.01); A61B 8/065 (2013.01); A61B 8/5223 (2013.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/42 (2022.01); G06V 10/776 (2022.01); G16H 20/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); A61B 5/02007 (2013.01); A61B 5/02028 (2013.01); A61B 5/0263 (2013.01); A61B 5/743 (2013.01); A61B 6/469 (2013.01); A61B 8/469 (2013.01); A61B 2576/00 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30104 (2013.01); G16H 30/20 (2018.01)] 17 Claims
OG exemplary drawing
 
1. A method for plaque determination in medical imaging, the method comprising:
acquiring medical scan data representing an anatomical structure of a patient;
extracting a set of features from the medical scan data;
inputting, by a processor, the features to a first machine-trained classifier, the first machine-trained classifier trained to output a value of hemodynamic metric;
inputting the value of the hemodynamic metric and additional features to a second machine-trained classifier; and
outputting, by the processor with application of the first machine-trained classifier to the features, an indicator of a risk of the plaque rupture or a nature of the plaque, the indicator being a function of the value of the hemodynamic metric and being a future evolution of the patient, the future evolution of the patient based on machine training with patient evolution data, the second machine-trained classifier performing the outputting of the indicator in response to the inputting to the second machine-trained classifier.