Development of Automated Software Program for the Analysis of Alzheimer's Disease Beta-Amyloid Scans

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-08ER85170
Agency Tracking Number: N/A
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: 18 b
Solicitation Number: DE-PS02-07ER07-36
Small Business Information
Molecular Neuroimaging, L.l.c.
60 Temple Street, Suite 8A, New Haven, CT, 06510
DUNS: 020285081
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 George Zubal
 Dr.
 (203) 401-4300
 gzubal@mnimaging.com
Business Contact
 Jack Mariotti
Title: Mr.
Phone: (203) 401-4351
Email: jmariotti@indd.org
Research Institution
N/A
Abstract
This project will develop a fast, automated, and accurate software processing package that will objectively yield beta-amyloid uptake values for evaluating Alzheimer¿s disease diagnosis and progression. This fully-automated, Objective and Generalized new Radiotracer Analysis (OGRE) package will evaluate subjects referred for PET or SPECT beta-amyloid imaging studies, with a sensitivity and reproducibility higher than that offered by the current techniques of visual inspection or manual image processing. Without user interaction, OGRE will: (1) reorient a time series of reconstructed SPECT or PET brain volume to a standard geometry and orientation; (2) extract SPECT or PET uptake values from 116 brain areas; (3) generate 116 decay corrected time activity curves (TACs) from the time sequence; and (4) interface the TACs to software modeling programs, so that the radio tracer kinetics of new radio ligands or therapeutic agents can be evaluated. The required algorithms will be coded into a software package, and the results will be applied to groups of patients and volunteers. Then, the results will be compared to those obtained using manual analysis by a highly-trained image processing technologist. Commercial Applications and other Benefits as described by the awardee: The automated-image processing package is expected to accomplish 2-3 hours of clinical, quantitative manual image processing within 5 minutes, while providing reproducible results across various imaging centers.

* information listed above is at the time of submission.

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