IP Library Granted Patent US 10,984,527
Granted Patent B2
US 10,984,527 · App. 15/221,865 · Granted Apr 20, 2021

Intelligent atlas for automatic image analysis of magnetic resonance imaging

Inventors: Susumu Mori (Ellicott City, MD); Michael I. Miller (Towson, MD); Kenichi Oishi (Baltimore, MD)
Assignee: THE JOHNS HOPKINS UNIVERSITY
G06T7/0012A61B5/00A61B5/055A61B5/72A61B6/032A61B6/037A61B6/461A61B6/50A61B6/501A61B6/52A61B6/5217G01R33/20G01R33/5608G01R33/56341G06K9/42G06K9/621G06K9/6209G06K9/6221G06K9/6234G06T7/0014G06T7/143G06T7/149G06T7/174G06T7/248G06T15/00G16H50/20G16H50/30G16H50/50A61B5/004A61B5/4064A61B2576/00A61B2576/02A61B2576/026G01T1/161G01T1/2985G06K2009/6213G06T2207/10081G06T2207/10088G06T2207/10092G06T2207/10104G06T2207/10108G06T2207/20221
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Quick Facts
Patent No.
US 10,984,527
App. No.
15/221,865
Granted
Apr 20, 2021
Kind
B2
Abstract

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a pre-cursor abnormality in the subject under observation.

Claims (14)

1. A non-invasive imaging system, comprising:

an imaging scanner configured to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure wherein the imaging signal comprises image data;

a non-transitory computer readable medium programmed for:

receiving the imaging signal from the imaging scanner;

accessing an anatomical atlas comprising geometric information corresponding to said at least one substructure in the tissue region, and accessing a pathological atlas corresponding to an abnormality of said tissue region, wherein the pathological atlas comprises first statistical information regarding voxels of the abnormality after being registered to at least a portion of the geometric information in the anatomical atlas;

transforming the imaging signal to register the tissue region to at least a portion of the geometric information in the anatomical atlas, wherein a registered tissue region image is obtained;

determining second statistical information regarding voxels of the registered tissue region image corresponding to said at least one substructure;

identifying automatically, based on the first statistical information and the second statistical information, a presence of said abnormality or a pre-cursor abnormality thereof in said tissue region of said subject under observation;

updating the image data with data from the pathological atlas; and

displaying the updated image data.

2. The non-invasive imaging system according to claim 1 , wherein said imaging scanner is a magnetic resonance imaging (MRI) scanner, a computed tomography (CT) imaging scanner, a positron emission tomography (PET) imaging scanner, a single positron emission computed tomography (SPECT) imaging scanner, or a combination thereof.

3. The non-invasive imaging system according to claim 1 further comprising the nontransitory computer readable medium being programmed for superimposing the pathological atlas and the anatomical atlas on the image data.

4. The non-invasive imaging system according to claim 1 , wherein said imaging scanner is capable of providing at least one contrast mechanism that delineates at least a portion of said at least one substructure of said tissue region.

5. The non-invasive imaging system according to claim 4 , wherein the non-transitory computer readable medium is further programmed for identifying automatically the presence of said abnormality by utilizing said at least one contrast mechanism.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2019
From: OISHI, KENICHI; MILLER, MICHAEL I.; MORI, SUSUMU
To: THE JOHNS HOPKINS UNIVERSITY
Reel/Frame 049606/0871 →
CONFIRMATORY LICENSE Recorded Dec 14, 2016
From: JOHNS HOPKINS UNIVERSITY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 040934/0540 →
Continuity (3)
Continuation 13695173
Provisional Application 61329857 · Apr 30, 2010
Related Publication 20160335768A1 · Nov 17, 2016