Brian P Cupps, Age 633 Troll Ct, Wildwood, MO 63011

Brian Cupps Phones & Addresses

3 Troll Ct, Ballwin, MO 63011 (636) 227-7720

600 Strecker Rd, Ballwin, MO 63011 (636) 537-5905

Manchester, MO

College Station, TX

Houston, TX

Bryan, TX

Social networks

Brian P Cupps

Linkedin

Work

Company: Washington university in st. louis Apr 1996 Position: Research associate professor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Texas A&M University 1986 to 1994 Specialities: Mathematics, Philosophy

Skills

Teaching • Matlab • Microsoft Office • Data Analysis • University Teaching • Science • Higher Education • Grant Writing • Statistics

Industries

Higher Education

Mentions for Brian P Cupps

Brian Cupps resumes & CV records

Resumes

Brian Cupps Photo 25

Research Associate Professor

Location:
Ballwin, MO
Industry:
Higher Education
Work:
Washington University In St. Louis
Research Associate Professor
Education:
Texas A&M University 1986 - 1994
Doctorates, Doctor of Philosophy, Mathematics, Philosophy
University of California, Davis 1979 - 1983
Bachelors, Bachelor of Science, Biochemistry
Skills:
Teaching, Matlab, Microsoft Office, Data Analysis, University Teaching, Science, Higher Education, Grant Writing, Statistics

Publications & IP owners

Us Patents

Method For Quantitatively Mapping Myocardial Contractile Function With Magnetic Resonance Based Multiparametric Strain Analysis

US Patent:
2009028, Nov 12, 2009
Filed:
Jan 8, 2009
Appl. No.:
12/350444
Inventors:
Brian P. Cupps - Manchester MO, US
Michael K. Pasque - Town and Country MO, US
International Classification:
A61B 5/055
G06K 9/00
US Classification:
600410, 382131
Abstract:
The strain at different locations in a subject's heart is determined by acquiring a series of MR images using a tagging pulse sequence (SPAMM) that produces a grid of lines in the reconstructed images. Circumferential strain, longitudinal strain, and the minimum principal strain angle, are all calculated at locations in the heart. These raw strain values are normalized by comparing them with corresponding values in a stored reference heart model. The normalized values at each location are combined to form a composite multiparametric strain index that is indicative of myocardial contractile function and these values are employed to modulate the color at corresponding locations in an anatomical image of the subject's heart.

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