Automated Parkinson's Disease Dopamine Transporter Scan Analysis Fast Track

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$840,457.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
1R42NS055475-01A2
Award Id:
85911
Agency Tracking Number:
NS055475
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
MOLECULAR NEUROIMAGING, LLC, 60 TEMPLE STREET, SUITE 8A, NEW HAVEN, CT, 06510
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
020285081
Principal Investigator:
IZUBAL
(203) 401-4300
GZUBAL@INDD.ORG
Business Contact:
JACKMARIOTTI
() -
jmariotti@indd.org
Research Institute:
INSTITUTE FOR NEURODEGENERATIV

INSTITUTE FOR NEURODEGENERATIVE
DISORDERS
NEW HAVEN, CT, 6510

Domestic nonprofit research organization
Abstract
DESCRIPTION (provided by applicant): We hypothesize that for a class of dopamine transporter SPECT agents, an automated software processing package can be developed, which will objectively yield striatal quantitative uptake values for evaluating Parkinson' s disease (PD) diagnosis and progression. This fully automated and Objective Striatal Analysis (OSA) package will be able to evaluate subjects referred for SPECT neuroreceptor imaging studies with a sensitivity and specificity higher than currently possibl e by visual inspection or manual image processing methods. OSA will carry out (with no user interaction required) the following processing steps: a) reorientation of the reconstructed brain volume along the cantho-meatal line, b) identification of axial sl ices with striatal activity and summation of specified number of slices, c) placement of regional template on left and right caudate and putamen and occipital background region following set rules for movement of regions, d) extraction of count density dat a for determination of regional striatal V3 as indicated in the equation: V3 = (regional striatal count density - occipital count density)/(occipital count density). The required algorithms will be coded into a software package (OSA), and the results of O SA applied to groups of patients and healthy volunteers will be compared to the results obtained by manually analyzing the same subject groups by a highly-trained image processing technologist. We propose to develop a completely automated package f or analysis of presynaptic dopaminergic function in Parkinson's patients which can be easily used in a clinical setting for high quality quantitative imaging assessments of neuroreceptor SPECT brain images. This automated analysis will remove subjectivity in the determination of the imaging outcome measure (progression of disease), and permit a clinical imaging center to obtain accurate diagnostic and monitoring assessments of the patient with reference to a normative dataset.

* information listed above is at the time of submission.

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