US 10,949,967 B2 · System and method for diagnostic vector classification support

Abstract

The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.

Claims25

Dependent claims

A method for evaluating a tumor having a central nidus and a peritumoral region adjacent to the central nidus, the method comprising:

presenting on a display an optoacoustic image of at least a portion of a volume of tissue comprising the tumor;
identifying on the display a boundary zone of the optoacoustic image, the boundary zone approximating at least a portion of the peritumoral region of the tumor;
obtaining a feature score from an operator for at least one peritumoral feature contained at least partially within the boundary zone;
obtaining at least one additional feature score for the at least one peritumoral feature contained at least partially within the boundary zone;
comparing the operator feature score and the at least one additional feature score;
obtaining one or more supplementary inputs from the operator if the operator feature score differs from at least one of the at least one additional feature score;
and
determining a grade for the at least one peritumoral feature based on the operator feature score.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application

16/022,138Filed 28 Jun 2018 · continuation

Priority

15 Mar 2013

Published

US 2018/0322630 A18 Nov 2018

Granted

16 Mar 2021

Term ends

Not estimatedThe source records don’t support an estimate.

Classification17 codes

G06T 7/0012
Inspection of images, e.g. flaw detection: biomedical image inspection
A61B 5/0035
Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of…:…
A61B 5/0095
Detecting, measuring or recording by applying one single type of energy and measuring its conversion into another type of energy: by applying…
A61B 8/0825
Clinical applications: for diagnosis of the breast, e.g. mammography

Family

Application61/799,213Us provisional application · filed 15 Mar 2013

Application61/810,238Us provisional application · filed 9 Apr 2013

Application61/898,392Us provisional application · filed 31 Oct 2013

Application14/205,005Parent of this division · filed 11 Mar 2014

Application15/213,889Parent of this continuation · filed 19 Jul 2016

US 9,398,893 B2Parent of this division · filed 26 Jul 2016

US 2018/0322630 A1Pre-grant publication · published 8 Nov 2018

US 10,026,170 B2Parent of this continuation

Application15/213,889Parent of this division

US 2014/0301619 A1Published application

US 2016/0343132 A1Published application

US 10,949,967 B2This patent

From the US filing history. Foreign family members aren’t listed.

System and method for diagnostic vector classification support

Life of this patent

System and method for diagnostic vector classification support

Life of this patent

Abstract

Claims25