Dual Modality Small Animal Imaging

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$99,997.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
DE-FG02-09ER85381
Award Id:
94624
Agency Tracking Number:
91187
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
44 Hunt Street, Watertown, MA, 02472
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073804411
Principal Investigator:
PurushottamDokhale
Dr.
(617) 668-6800
PDokhale@rmdinc.com
Business Contact:
GeraldEntine
Dr.
(617) 668-6800
NMarshall@RMDInc.com
Research Institute:
n/a
Abstract
The ideal biological imaging system would provide non-invasive, high-resolution, high sensitivity, three-dimensional (3D) images of living systems. Positron Emission Tomography (PET), which offers high sensitivity to a range of biological processes, through the use of targeted radio labeled probes, is one such candidate system. Unfortunately, precise signal localization can be extremely difficult, due to low spatial resolution and the lack of anatomical information. Alternatively, Magnetic Resonance Imaging (MRI) can provide high spatial resolution and excellent soft tissue contrast, but suffers from poor signal strength, which leads to low sensitivity. This project will combine the best features of PET and MR modalities for small animal studies into a single imaging instrument that will record data in both imaging modalities nearly simultaneously. Phase I will design and build PET detector modules that can be operated inside a small animal MR scanner. The effect of both detectors on one another will be analyzed. Commercial Applications and other Benefits as described by the awardee The melded system would provide a high-resolution anatomical context for PET studies. Over and above the application to nuclear medicine, the proposed technology should be useful in nuclear and particle physics, space research, homeland security, environmental monitoring, and synchrotron studies

* information listed above is at the time of submission.

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