This project's goal is to demonstrate a new Monte Carlo radiation simulation software package, for a low-cost desktop high-performance computer, that will significantly reduce the turn-around time for computed tomography (CT) imaging dose calculations. X-ray is the oldest and most widely used diagnostic imaging modality. However, controversy about the potential risk of radiation-induced carcinogenic effects has always surrounded the clinical use of 3D volumetric CT body imaging. However, experiences suggest that existing patient CT dose computational tools are insufficient for patient- specific risk assessment, scanner optimization, protocol comparison, and accident investigation. We propose an innovative approach which takes advantage of general-purpose graphics processing units (GPGPUs) that harvest the enormous power from massively parallel processors at unprecedented low prices. We have assembled this multidisciplinary team of experts from nuclear engineering, Monte Carlo radiation transport theory, medical physics, computer science, clinical radiology, and CT scanner design to achieve the following Specific Aims: 1. To develop a new Monte Carlo software package that is specifically designed and optimized for the emerging hybrid CPU/GPU parallel computing platforms and to validate the software. 2. To integrate the software with GE LightSpeed CT scanner models and a library of deformable patient phantoms. 3. To demonstrate and evaluate clinical benefits of the new Monte Carlo computing tool for typical diagnostic CT scanning protocols. 4. To establish a national resource center of Monte Carlo parallel-computing for the clinical radiological community

Public Health Relevance

A new Monte Carlo radiation simulation software package for a low-cost CPU/GPU desktop high- performance computer is developed to significantly reduce the turn-around time for computed tomography (CT) imaging dose calculations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB015478-03
Application #
8667944
Study Section
Biomedical Computing and Health Informatics Study Section (BCHI)
Program Officer
Pai, Vinay Manjunath
Project Start
2012-08-01
Project End
2016-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
3
Fiscal Year
2014
Total Cost
$622,124
Indirect Cost
$155,748
Name
Rensselaer Polytechnic Institute
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
002430742
City
Troy
State
NY
Country
United States
Zip Code
12180
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