You are here

TOPIC 417: GPU-ACCELERATED 3D MONTE CARLO SPECT RECONSTRUCTION ALGORITHM FOR PERSONALIZED RADIOPHARMACEUTICAL THERAPY

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 75N91021C00038
Agency Tracking Number: 75N91021C00038
Amount: $397,359.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 417
Solicitation Number: PHS2021-1
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
6401 TONKINESE TRL
MADISON, WI 53719-1877
United States
DUNS: 080208141
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 JOSEPH GRUDZINSKI
 (608) 347-6524
 JGrudzinski@voximetry.com
Business Contact
 SUE WALLACE
Phone: (262) 751-6441
Email: SWallace@voximetry.com
Research Institution
N/A
Abstract

Although radiopharmaceutical therapy (RPT) has worked well in patients with lymphoma, late-stage, metastatic prostate cancer, and neuroendocrine tumors, it is well known that because of variability in patient pharmacokinetics, standard dosing leads to clinical outcomes that are difficult to predict and drastically vary. However, it is possible to make RPT safer and more effective by first measuring the radiation emitted by the RPT agent in vivo using quantitative SPECT imaging and then calculating the radiation energy deposited in tumors and normal tissues using dosimetry software. A personalized RPT prescription can be derived that maximizes effectiveness and minimizes side effects. However, because commercially available SPECT reconstruction algorithms do not accurately correct for scatter, they are insufficient for determining personalized RPT prescriptions. Therefore, there is a clinically unmet need for better reconstruction algorithms which enable true quantitative SPECT imaging. The aim of this contract proposal is to build a graphics processing unit (GPU) software platform that can perform SPECT reconstruction with Monte Carlo (MC)-based scatter correction within 5 minutes, making it clinically viable. Fast and accurate GPU MC-based SPECT reconstruction (Torch Recon) will further improve the accuracy of RPT dosimetry and thereby accelerate the clinical adoption of our current SBIR-funded MC dose engine (Torch).

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government