UMBC High Performance Computing Facility
Particle Beam Therapy
John Eley, Department of Radiation Oncology, University of Maryland School of Medicine
Matthias K. Gobbert, Department of Mathematics and Statistics, UMBC
Radiation treatment for cancer has changed rapidly in the past decades,
with some of the greatest breakthroughs occurring in digital imaging,
robotic beam-delivery systems, and high-energy particle accelerators,
all of which rely heavily on parallel computing to plan radiation beams
for millimeter-precision cancer treatment.
Virtual studies are an effective way to screen and test ideas that could
not be tested directly in patients and also to minimize the use of animals
in early stage research. Accurate radiation-transport simulations that
realistically consider the fundamental interactions of particles in matter
and consider the anatomy of patients or animals can be extremely computationally
expensive and, thus, benefit from large-scale, parallel computing architectures.
The newly constructed Maryland Proton Treatment Center in Baltimore will be
one of the first centers in the US to offer scanned-beam proton beam therapy,
using magnetic fields to sweep particle beams pre cisely across cancer targets
and to deliver cancer-sterilizing doses of radiation. The overall scope of our
research focuses on the design and development of new treatment strategies
for cancer using scanned particle beams. One major objective is to develop
irradiation schemes appropriate for moving lung tumors, where the beam must
be optimized to mitigate tissue-motion effects. Another major objective is
to better understand the microscopic properties of energy deposition
from protons and light ions and their relation to observed biological effects
on irradiate tissue, such as cell inactivation or transformation.