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High Resolution, Diagnostic Imaging of Fat Composition and Regional Location

Technology Benefits

Totally automated image reconstruction and data analysis.Requires only one breath-hold scan added to a standard MR examination.Yields diagnostic information that cannot be derived from other non-invasive means.

Technology Application

This technology can improve diagnostic utility for patients of diverse diseases that are characterized by specific types and locations of fat deposits. Such diseases include cancer, diabetes, and liver disease.

Detailed Technology Description

Commonly employed MRI techniques for separating water and fat exploit differences in the precession frequency of protons in fat and water. UC researchers have simplified and improved analysis and data processing by identifying three most-relevant parameters that can be used to qualitatively and quantitatively image fat. By reducing the complexity of an MRI-generated fat spectrum, one is able to significantly improve the diagnostic utility of a scan with minimal effect on the scan time.

Supplementary Information

Patent Number: WO2012061839A3
Application Number: WO2011US59660A
Inventor: BYDDER, Mark | HAMILTON, Gavin | MIDDLETON, Michael | SIRLIN, Claude
Priority Date: 5 Nov 2010
Priority Number: WO2012061839A3
Application Date: 7 Nov 2011
Publication Date: 2 Aug 2012
IPC Current: A61B0005055 | G06F001900
Assignee Applicant: The Regents of the University of California
Title: MRI-BASED FAT DOUBLE BOND MAPPING | MAPPAGE DE LIAISONS DOUBLES DE GRAISSE BASÉ SUR L'IMAGERIE PAR RÉSONANCE MAGNÉTIQUE
Usefulness: MRI-BASED FAT DOUBLE BOND MAPPING | MAPPAGE DE LIAISONS DOUBLES DE GRAISSE BASÉ SUR L'IMAGERIE PAR RÉSONANCE MAGNÉTIQUE
Summary: MRI method for producing fat characterization profile from acquired MRI image used in diagnosis and treatment plans for disease such as cancer to evaluate tumors/lesions and decide if malignant or benign, liver disease to differential between simple steatosis and steaohepatities, and diabetes to detect brown fat that is indicator for predisposition to develop diabetes.
Novelty: MRI method for producing fat characterization profile from acquired MRI image to determine type and saturation level of fat involves determining fat characterization parameters based on acquired magnetic resonance data

Industry

Biomedical

Sub Group

Medical Imaging

Application No.

9759794

Others

State Of Development

In vitro validation is complete. Studies with human subjects are underway: the type and quantity of fat in the abdomen are measured with 5 mm resolution in a 24 second scan.

Intellectual Property Info

Pending patents available under confidentiality; worldwide, non-exclusive IP rights and copyright (software) available.

Related Materials

Risérus U, et al., Dietary Fats and Prevention of Type 2 Diabetes. Prog Lipid Res 2009; 48: 44-51.
Griffitts J, et al., In Vivo MRS Assessment of Altered Fatty Acyl Unsaturation in Liver Tumor Formation of a TGF Alpha/c-myc Transgenic Mouse Model. J Lipid Res 2009; 50: 611-622.
Pezeshkian et al., Fatty Acid Composition of Epicardial and Subcutaneous Human Adipose Tissue. Metabolic Syndrome and Related Disorders. Volume 7, Number 2, 2009. Pp. 125–132.
Yu H, et al., SB. IDEAL Water-Fat Decomposition with Multi-Peak Fat Spectral Modeling. Magn Reson Med 2008; 60: 1122-1134.
Araya J, et al., Increase in Long-Chain Polyunsaturated Fatty Acid n - 6/n - 3 Ratio in Relation to Hepatic Steatosis in Patients with Non-Alcoholic Fatty Liver Disease. Clin Sci 2004; 106: 635-643.

Tech ID/UC Case

21265/2011-012-0

Related Cases

2011-012-0, 2008-830-1, 2010-814-1

Country/Region

USA

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