SBIR/STTR Research Award

Quantitative I-123 Cardiac SPECT using a Novel Spectral Fitting Method for High E

Award identifier c146faa0616159f84c3ceb37c65e19ecead2b2c70e6ff7201bceae0cddeed84aAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$117,839

Program and phase

SBIR · Phase I

Award year

2008

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CARDIOVASCULAR IMAGING TECHNOLOGIES
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2007-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Current emphasis on metabolic approaches and models for diagnosing heart disease have renewed development of 123I SPECT imaging agents applied in stand-alone protocols and as a complimentary role to existing stress/rest perfusion protocols. However, a majority of the current nuclear cardiology SPECT equipment base and associated infrastructure utilize low energy (LE) collimation which is a significant technical obstacle to adapting 123I imaging due to spectrum contaminan ts from high energy (gt 500 keV) 123I emissions. Medium energy (ME) collimation for SPECT imaging is typically applied in general nuclear environments for 123I imaging, but is not readily available or nonexistent for nuclear cardiology large field of view systems and not at all available for small field of view dedicated cardiac SPECT systems. The primary objective of this work is to develop an energy-based algorithmic method allowing efficient and accurate imaging of 123I agents on existing nuclear cardiol ogy equipment employing low energy collimation while improving image accuracy in comparison with ME collimation thereby facilitating adaptation of cardiac 123I SPECT. The technique employs a list mode acquisition that improves the effective energy resoluti on of the gamma camera by iteratively estimating a spectrum free' of the spectral contaminants. The technique does not rely on assumptions about the patient habits or require the acquisition of additional data for modeling the scatter component.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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