METHODS FOR USING MACHINE LEARNING AND MECHANISTIC MODELS FOR BIOLOGICAL FEATURE MAPPING WITH MULTIPARAMETRIC MRI

Described here are systems and methods for generating and implementing a hybrid machine learning and mechanistic model to produce biological feature maps, or other measurements of biological features, based on an input of multiparametric magnetic resonance or other images. The hybrid model can inclu...

Full description

Saved in:
Bibliographic Details
Main Authors HU, Leland, S, SWANSON, Kristin, R, GAW, Nathan, YOON, Hyunsoo, HAWKINS-DAARUD, Andrea, LI, Jing, WU, Teresa
Format Patent
LanguageEnglish
French
German
Published 23.09.2020
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
Online AccessGet full text

Cover

More Information
Summary:Described here are systems and methods for generating and implementing a hybrid machine learning and mechanistic model to produce biological feature maps, or other measurements of biological features, based on an input of multiparametric magnetic resonance or other images. The hybrid model can include a combination of a machine learning model and a mechanistic model that takes as an input multiparametric MRI, or other imaging, data to generate biological feature maps (e.g., tumor cell density maps), or other measures or predictions of biological features (e.g., tumor cell density). The hybrid models have capabilities of learning individual-specific relationships between imaging features and biological features.
Bibliography:Application Number: EP20180878374