用Gpu加速的JEMRIS进行广泛的MRI模拟
Aizada Nurdinova1,2, Stefan Ruschke3, Michael Gestrich4
1Department of Radiology, Stanford University, Stanford, USA. nurdaiza@stanford.edu.
Magma (New York, N.Y.)
|September 4, 2025
概括
图形处理单元 (GPU) 平行化加速了JEMRIS中的Bloch模拟,使得MRI文物分析更快. 这种增强可以进行更复杂的模拟,为磁共振成像 (MRI) 现象提供更深入的见解.
科学领域:
- 医学成像
- 计算物理
- 磁共振成像 (MRI)
背景情况:
- JEMRIS是一个MRI模拟的开源工具.
- 对于复杂的MRI场景来说,加速布洛赫模拟非常重要.
研究的目的:
- 通过GPU并行实现更快的Bloch模拟来增强JEMRIS.
- 提高JEMRIS模拟工具的性能和功能.
主要方法:
- 在CUDA C++中重新实现了关键的JEMRIS类,用于GPU加速.
- 集成异步通信和混合精度支持.
- 将GPU-JEMRIS与CPU-JEMRIS和KomaMRI进行比较
主要成果:
- 与CPU相比,实现了3-12 (双精度) 和7-65 (单精度) 的加速度系数.
- 在双重精度下显示了最小的精度差异 (<0.1% NRMSE).
- 在肝脏脂肪量化中模拟运动器件, 显示显著的偏差.
结论:
- 在支持CUDA的GPU上,GPU-JEMRIS可实现加速的Bloch模拟.
- 提供更现实的,更复杂的MRI模拟.
- 开辟了大型旋转池和动态MRI效应的先进研究的可能性.
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