US 2017/0371010 A1Published application

Method and system for improved classification of constituent materials

AssigneeGeneral Electric Company

InventorsDattesh Dayanand Shanbhag, Rakesh Mullick, Sheshadri Thiruvenkadam, Florian Wiesinger, Sudhanya Chatterjee, Kevin Matthew Koch

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Abstract

An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.

Claims19

Dependent claims

A method for imaging a subject, comprising:

reconstructing a magnetic resonance image and a measured B0 field map corresponding to a target volume in the subject using magnetic resonance imaging data acquired from the target volume, wherein the magnetic resonance image comprises one or more bright regions, one or more dark regions, or a combination thereof;
identifying one or more distinctive constituent materials corresponding to each of the one or more bright regions in the magnetic resonance image;
iteratively labeling each of the one or more dark regions in the magnetic resonance image as one or more ambiguous constituent materials;
assigning susceptibility values corresponding to each of the one or more distinctive constituent materials and the one or more iteratively labeled ambiguous constituent materials;
iteratively generating a simulated B0 field map based on the assigned susceptibility values corresponding to each of the one or more distinctive constituent materials and the one or more iteratively labeled ambiguous constituent materials;
determining a similarity metric between the measured B0 field map and the simulated B0 field map during each iteration;
identifying the one or more ambiguous constituent materials in each of the one or more dark regions based on the determined similarity metric to ascertain corresponding susceptibility values;
correcting the magnetic resonance imaging data based on the assigned susceptibility values corresponding to the one or more distinctive constituent materials and the ascertained susceptibility values corresponding to the one or more ambiguous constituent materials identified in the magnetic resonance image;
and
determining a diagnostic assessment of the target volume based on the corrected magnetic resonance imaging data.

7 more elements

An imaging system configured to image a subject, comprising:

a scanner configured to scan a target volume of the subject to acquire corresponding magnetic resonance imaging data;
a processing subsystem operationally coupled to the scanner, wherein the processing subsystem is configured to:
reconstruct a magnetic resonance image and a measured B0 field map corresponding to the target volume using the magnetic resonance imaging data, wherein the magnetic resonance image comprises one or more bright regions, one or more dark regions, or a combination thereof;
identify one or more distinctive constituent materials corresponding to each of the one or more bright regions in the magnetic resonance image;
iteratively label each of the one or more dark regions in the magnetic resonance image as one or more ambiguous constituent materials;
assign susceptibility values corresponding to each of the one or more distinctive constituent materials and the one or more iteratively labeled ambiguous constituent materials;
iteratively generate a simulated B0 field map based on the assigned susceptibility values corresponding to each of the one or more distinctive constituent materials and the one or more iteratively labeled ambiguous constituent materials;
determine a similarity metric between the measured B0 field map and the simulated B0 field map during each iteration;
identify one or more constituent materials in each of the one or more dark regions based on the determined similarity metric to ascertain corresponding susceptibility values;
correct the magnetic resonance imaging data based on assigned susceptibility values corresponding to the one or more distinctive constituent materials and the ascertained susceptibility values corresponding to the one or more ambiguous constituent materials identified in the magnetic resonance image;
and
determine a diagnostic assessment of the target volume based on the corrected magnetic resonance imaging data.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/532,680Filed 2 Dec 2015
Priority: IN 6113/CHE/20144 Dec 2014
Published: 28 Dec 2017
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G01R 33/243
For measuring direction or magnitude of magnetic fields or magnetic flux: spatial mapping of the polarizing magnetic field
A61B 5/0035
Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of…:…
A61B 5/055
Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves:…
G01R 33/5608
Image enhancement or correction, e.g. subtraction or averaging techniques , e.g. improvement of signal-to-noise ratio and resolution: data…