US 11,861,475 B2
Methods for using machine learning and mechanistic models for biological feature mapping with multiparametric MRI
Leland S. Hu, Phoenix, AZ (US); Jing Li, Tempe, AZ (US); Kristin R. Swanson, Phoenix, AZ (US); Teresa Wu, Gilbert, AZ (US); Nathan Gaw, Tempe, AZ (US); Hyunsoo Yoon, Tempe, AZ (US); and Andrea Hawkins-Daarud, Houston, TX (US)
Assigned to Mayo Foundation for Medical Education and Research, Rochester, MN (US); and Arizona Board of Regents on behalf of Arizona State University, Scottsdale, AZ (US)
Appl. No. 16/764,837
Filed by Mayo Foundation for Medical Education and Research, Rochester, MN (US); and Arizona Board of Regents on behalf of Arizona State University, Scottsdale, AZ (US)
PCT Filed Nov. 19, 2018, PCT No. PCT/US2018/061887
§ 371(c)(1), (2) Date May 15, 2020,
PCT Pub. No. WO2019/100032, PCT Pub. Date May 23, 2019.
Claims priority of provisional application 62/684,096, filed on Jun. 12, 2018.
Claims priority of provisional application 62/588,096, filed on Nov. 17, 2017.
Prior Publication US 2020/0342359 A1, Oct. 29, 2020
Int. Cl. G06K 9/00 (2022.01); G06N 20/10 (2019.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06F 18/214 (2023.01)
CPC G06N 20/10 (2019.01) [G06F 18/2155 (2023.01); G06T 7/0012 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for constructing and implementing a hybrid machine learning and mechanistic model to predict biological feature data, the steps of the method comprising:
constructing a hybrid machine learning and mechanistic model by:
(i) accessing training data with a computer system, the training data including labeled data and unlabeled data;
(ii) training a machine learning model based on the training data, generating output that includes a trained machine learning model;
(iii) augmenting the machine learning model using a mechanistic model that mathematically describes at least one of a biological process or a physiological process associated with a biological feature, generating a hybrid model comprising a hybrid machine learning and mechanistic model; and
generating predicted biological feature data by inputting multiparametric magnetic resonance images to the hybrid model.