US2016203597A1PendingUtilityA1

Methods for constructing association maps of imaging data and biological data

Assignee: CHANG HOWARD YUAN-HAOPriority: Oct 31, 2006Filed: Dec 23, 2015Published: Jul 14, 2016
Est. expiryOct 31, 2026(~0.3 yrs left)· nominal 20-yr term from priority
F23Q 3/004G06T 7/0012G06K 9/46A61B 5/4842A61B 5/7271G06K 9/66G06T 2207/30096G16B 25/00G16B 40/00
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Claims

Abstract

A method for constructing an association map between imaging features and biological data is described. The method comprises combining one or more image features relating to a clinical subject with biological data and using an algorithm to make predictions based on the features and data.

Claims

exact text as granted — not AI-modified
1 .- 24 . (canceled) 
     
     
         25 . A method of assessing the disease state of a tumor comprising:
 a. identifying one or more tumor imaging features from images from a plurality of subjects,   b. applying a module networks algorithm to identify relationships between the one or more tumor imaging features and biological data relating to the images;   c. constructing, based on the identified relationships an association map between the one or more tumor imaging features and the biological data; and   d. determining the diseased state of a tumor by visually inspecting the association map.   
     
     
         26 . The method of claim  1  wherein the tumor imaging features are associated with a disease. 
     
     
         27 . The method of claim  1 , wherein the identifying comprises identifying one or more tumor imaging features based on frequency of the one or more features in the images. 
     
     
         28 . The method of claim  1 , wherein the identifying comprises identifying one or more tumor imaging features based on its independence from other features. 
     
     
         29 . The method of claim  1 , wherein said identifying comprises identifying one or more tumor imaging features from images obtained using an imaging technique.

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