Boris Marendic from 5805 N Ridge Ave APT 3, Chicago, IL 60660, age 47, Phone: 312 852-0935

Resumes

Project Engineer

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Location:

Chicago, IL

Industry:

Electrical/Electronic Manufacturing

Work:

Predictek Inc. since Mar 2008
Research Engineer
Predictek Inc. 2008 - 2011
Research Engineer
Illinois Institute of Technology 2008 - 2009
Research Associate
Motorola Jul 2001 - Mar 2008
Sr Firmware Engineer

Education:

Illinois Institute of Technology 1999 - 2007
Embry-Riddle Aeronautical University 1995 - 1999
BS, Avionics Engineering

Skills:

Electromagnetics
Firmware
Signal Processing
Statistics
Electrical Engineering
Image Processing
Labview
Embedded Systems
Matlab
Digital Signal Processors
R&D
Programming
Systems Engineering
Simulations

Boris Marendic

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Location:

Chicago, IL

Industry:

Telecommunications

Us Patents

Method For Analyzing And Correcting Measurement Variability In Pet Images
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US Patent:

20210052244, Feb 25, 2021
Filed:

Oct 26, 2020
Appl. No.:

17/080273
Inventors:

- Northbrook IL, US
Ana S. Lukic - Chicago IL, US
Boris Marendic - Chicago IL, US
Randolph D. Andrews - McHenry IL, US
Assignee:

ADM DIAGNOSTICS, INC. - Skokie IL
International Classification:

A61B 6/00
G06T 7/00
G01T 1/166
A61B 6/03
G01T 7/00
Abstract:

A computer-implemented method for correcting measurement variability across a scanner field of view within an image scan, such as in PET imaging. The method operates on a slice-by-slice application and identifies and negates scan inconsistencies across the scanner field of view by normalizing values across the image scan as a function of reference signals measured across the field of view.

Method For Analyzing And Correcting Measurement Variability In Pet Images
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US Patent:

20160166229, Jun 16, 2016
Filed:

Aug 4, 2014
Appl. No.:

14/909364
Inventors:

Dawn C. MATTHEWS - Grayslake IL, US
Ana S. LUKIC - Chicago IL, US
Boris MARENDIC - Chicago IL, US
Randolph D. ANDREWS - Mchenry IL, US
International Classification:

A61B 6/00
G01T 7/00
A61B 6/03
Abstract:

A computer-implemented method for correcting measurement variability across a scanner field of view within an image scan, such as in PET imaging. The method operates on a slice-by-slice application and identifies and negates scan inconsistencies across the scanner field of view by normalizing values across the image scan as a function of reference signals measured across the field of view.