  The susceptibility-based positive contrast MR technique was applied to
estimate arbitrary magnetic susceptibility distributions of the metallic
devices using a kernel deconvolution algorithm with a regularized L-1
minimization.Previously, the first-order primal-dual (PD) algorithm could
provide a faster reconstruction time to solve the L-1 minimization, compared
with other methods. Here, we propose to accelerate the PD algorithm of the
positive contrast image using the multi-core multi-thread feature of graphics
processor units (GPUs). The some experimental results showed that the GPU-based
PD algorithm could achieve comparable accuracy of the metallic interventional
devices in positive contrast imaging with less computational time. And the
GPU-based PD approach was 4~15 times faster than the previous CPU-based scheme.
