تقرير
A Learned Born Series for Highly-Scattering Media
| العنوان: | A Learned Born Series for Highly-Scattering Media |
|---|---|
| المؤلفون: | Stanziola, Antonio, Arridge, Simon, Cox, Ben T., Treeby, Bradley E. |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science Physics (Other) |
| مصطلحات موضوعية: | Physics - Computational Physics, Computer Science - Machine Learning, Physics - Medical Physics |
| الوصف: | A new method for solving the wave equation is presented, called the learned Born series (LBS), which is derived from a convergent Born Series but its components are found through training. The LBS is shown to be significantly more accurate than the convergent Born series for the same number of iterations, in the presence of high contrast scatterers, while maintaining a comparable computational complexity. The LBS is able to generate a reasonable prediction of the global pressure field with a small number of iterations, and the errors decrease with the number of learned iterations. Comment: 6 pages, 1 figure |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2212.04948 |
| رقم الأكسشن: | edsarx.2212.04948 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |