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Patents on Quantitative Susceptibility Mapping (QSM) of Tissue Magnetism

[ Vol. 13 , Issue. 2 ]

Author(s):

Feng Lin, Martin R. Prince, Pascal Spincemaille and Yi Wang*   Pages 90 - 113 ( 24 )

Abstract:


Background: Quantitative susceptibility mapping (QSM) depicts biodistributions of tissue magnetic susceptibility sources, including endogenous iron and calcifications, as well as exogenous paramagnetic contrast agents and probes. When comparing QSM with simple susceptibility weighted MRI, QSM eliminates blooming artifacts and shows reproducible tissue susceptibility maps independent of field strength and scanner manufacturer over a broad range of image acquisition parameters. For patient care, QSM promises to inform diagnosis, guide surgery, gauge medication, and monitor drug delivery. The Bayesian framework using MRI phase data and structural prior knowledge has made QSM sufficiently robust and accurate for routine clinical practice.

Objective: To address the lack of a summary of US patents that is valuable for QSM product development and dissemination into the MRI community.

Method: We searched the USPTO Full-Text and Image Database for patents relevant to QSM technology innovation. We analyzed the claims of each patent to characterize the main invented method and we investigated data on clinical utility.

Results: We identified 17 QSM patents; 13 were implemented clinically, covering various aspects of QSM technology, including the Bayesian framework, background field removal, numerical optimization solver, zero filling, and zero-TE phase.

Conclusion: Our patent search identified patents that enable QSM technology for imaging the brain and other tissues. QSM can be applied to study a wide range of diseases including neurological diseases, liver iron disorders, tissue ischemia, and osteoporosis. MRI manufacturers can develop QSM products for more seamless integration into existing MRI scanners to improve medical care.

Keywords:

Quantitative susceptibility mapping, MRI, magnetic susceptibility, tissue magnetism, biodistribution, Bayesian framework.

Affiliation:

School of Law, City University of Hong Kong, Hong Kong, Department of Radiology, Weill Medical College of Cornell University, New York, NY, Department of Radiology, Weill Medical College of Cornell University, New York, NY, Department of Radiology, Weill Medical College of Cornell University, New York, NY

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