ET and SPECT imaging at Massachusetts General Hospital is actively supported by NIH- funded research and addresses questions of fundamental importance in the fields of neurology, oncology, cardiology, neuroscience, tumor biology and molecular imaging. There are several significant advances in nuclear medicine imaging, such as dynamic imaging for kinetic modeling of novel PET radiopharmaceuticals, PET-MR, time-of-flight PET, and quantitative SPECT-CT, that have triggered active research in modeling, simulation and image reconstruction for these new applications. Image reconstruction using additional dimensions from energy, time-of-flight, and dynamic time frame requires unprecedented computer memory and speed to model extremely large system matrices. A supercomputer with a very large shared memory is critical for such applications because using distributed memory across a standard computer cluster, which consists of multiple nodes connected by network, is severely limited by the slow node-to-node network connections. We propose a Silicon Graphics Inc. Altix UV 1000 global shared memory supercomputer with 2 TB memory and 256 Intel Xeon cores. This system will serve a large group of funded NIH investigators and will yield substantial improvement in the quality of their research by enhancing image quality and accuracy in quantitative PET and biomedical imaging.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
Biomedical Research Support Shared Instrumentation Grants (S10)
Project #
1S10OD011928-01A1
Application #
8245347
Study Section
Special Emphasis Panel (ZRG1-BST-F (30))
Program Officer
Levy, Abraham
Project Start
2012-05-10
Project End
2014-05-09
Budget Start
2012-05-10
Budget End
2014-05-09
Support Year
1
Fiscal Year
2012
Total Cost
$458,000
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199