Abstract
Parallel Computation in Medical Imaging Applications
Highlights
The papers demonstrated the potential of parallel computation in medical imaging and visualization in a wide range of applications including image reconstruction, image denoising, motion estimation, deformable registration, diffeomorphic mapping, and modeling
In the paper entitled “CUDA-accelerated geodesic raytracing for fiber tracking,” E. van Aart et al present an accelerated algorithm for brain fiber tracking
The proposed algorithm utilizes the parallel structure of a graphics processing unit in combination with the CUDA platform to substantially accelerate the execution time of the fiber tracking by a factor up to 40 times compared to a multithreaded CPU implementation
Summary
In the paper entitled “CUDA-accelerated geodesic raytracing for fiber tracking,” E. van Aart et al present an accelerated algorithm for brain fiber tracking. Editorial Parallel Computation in Medical Imaging Applications There is currently a rapidly growing interest in parallel computation application in various medical imaging and image processing fields. The selected topics and papers for this special issue shed more light on various aspects of this expanding field and its potential in accelerating medical imaging applications.
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