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Computational Acceleration for Medical Treatment Planning (Paperback)
Loot Price: R1,296
Discovery Miles 12 960
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Computational Acceleration for Medical Treatment Planning (Paperback)
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Total price: R1,316
Discovery Miles: 13 160
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In medicine, there is a clear trend towards individualized
therapies, for cancer and other diseases. Individualized treatment
planning for cancer, particularly in radiotherapy and light
therapies, is a complex optimization problem. As analytical inverse
planning solutions do not exist for light therapies, a large number
of light delivery configurations must be evaluated to find one that
best conforms to the clinical target (e.g., a tumour). An integral
part of this optimization is the accurate computation of light
dose, ideally using Monte Carlo (Me simulations for realistic, 3-D
modelling. This text explores two hardware-accelerated solutions to
overcome the general speed limitation of MC simulations: (1)
designing custom hardware on field-programmable gate arrays, and
(2) creating highly parallel software on graphics processing units
(GPUs). Notably, a speedup of over 1000x was achieved on four GPUs
compared to a state-of-the-art CPU. As the Monte Carlo method is
used in many fields such as radiation medicine, this text also
includes the GPU MC code package and is of interest to scientists,
engineers, and medical professionals exploring real-time treatment
planning solutions.
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