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MATHEMATICAL METHODS FOR EMISSION COMPUTED TOMOGRAPHY

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
14360
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
14360
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Mathematical Technologies, Inc
One Richmond Square Providence, RI 02906
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1991
Title: MATHEMATICAL METHODS FOR EMISSION COMPUTED TOMOGRAPHY
Agency: NSF
Contract: N/A
Award Amount: $49,963.00
 

Abstract:

THE ABILITY TO MEASURE METABOLIC ACTIVITY, AS WELL AS THE ABILITY TO DISCRIMINATE AMONG DIFFERENT TISSUE TYPES, MAKE SPECT A POTENTIALLY POWERFUL MEDICAL IMAGING TOOL. HOWEVER,THE LOW RESOLUTION AND POOR IMAGE QUALITY THAT CHARACTERIZE SPECT IMAGES LIMIT THE CLINICAL USEFULNESS OF SPECT. MATHEMATICAL TECHNOLOGIES INC. BELIEVES THAT MATHEMATICAL METHODS ARE AVAILABLE WHICH WILL SIGNIFICANTLY IMPROVE SPECTRECONSTRUCTION TECHNIQUES. THE PRINCIPLE INVESTIGATOR HAS DEVELOPED AN ITERATIVE RECONSTRUCTION TECHNIQUE BASED ON MARKOV RANDOM FIELD IMAGE MODELS IN A BAYESIAN FRAMEWORK. EXPERIMENTS WITH THIS TECHNIQUE INDICATE THAT DRAMATIC IMPROVEMENTS IN SPECT IMAGE QUALITY MAY BE POSSIBLE. THE PROPOSED RESEARCH WOULD ADDRESS THE ISSUES RELEVANT TO THE CLINICAL VIABILITY OF THE APPROACH: 1. THE IMAGING CHARACTERISTICS OF A STATE OF THE ART SPECT MACHINE ARE TO BE MODELED; 2. BAYESIAN RECONSTRUCTIONS ARE TO BE SYSTEMATICALLY COMPARED TO THE BEST AVAILABLE RECONSTRUCTIONTECHNIQUES; 3. THE FEASIBILITY OF OPTIMIZING AND/OR MODIFYING THE COMPUTATIONAL ALGORITHMS TO PRODUCE THE RECONSTRUCTION WITHIN CLINICAL TIME LIMITS WILL BE EXPLORED;4. THE POSSIBILITY OF EXPLOITING THIS FRAMEWORK TO OBTAIN SIMULTANEOUS ESTIMATES OF ATTENUATION AND ISOTOPE CONCENTRATION WILL BE EXPLORED. (CURRENT METHODS MUST ASSUME A PRIORI THE ATTENUATION STRUCTURE). IF SUCCESSFUL, THIS FOURTH RESEARCH OBJECTIVE WOULD RESULT IN A SIGNIFICANTADVANCE IN THE SPECT TECHNOLOGY.

Principal Investigator:

Kevin Manbeck
Research Scientist
0

Business Contact:

Small Business Information at Submission:

Mathematical Technologies, Inc
One Richmond Square Providence, RI 02906

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No