On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences.
Images are ubiquitous in biomedical applications from basic research to clinical practice. With the rapid increase in resolution, dimensionality of the images and the need for real-time performance in many applications, computational requirements demand proper exploitation of multicore architectures...
Main Authors: | Thiyagalingam, J, Goodman, D, Schnabel, J, Trefethen, A, Grau, V |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2011
|
Similar Items
-
On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences
by: Jeyarajan Thiyagalingam, et al.
Published: (2011-01-01) -
Efficiency near the edge: increasing the energy efficiency of FFTs on GPUs for real-time edge computing
by: Adamek, K, et al.
Published: (2021) -
Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-Time Edge Computing
by: Karel Adamek, et al.
Published: (2021-01-01) -
Parallel Simulation for Parameter Estimation of Optical Tissue Properties.
by: Duta, M, et al.
Published: (2010) -
Efficient Tensor Sensing for RF Tomographic Imaging on GPUs
by: Da Xu, et al.
Published: (2019-02-01)