Comments (2)
The main reason I suspect that your simulated data did not work with the waveform inversion code provided here was the source scaling. Unfortunately, I did not provide an automated source scaling here.
In a future work, I intend to discuss and implement an automated source scaling as well as to provide k-Wave simulation code. Please keep a look out for this.
from fullwaveforminversionusct.
I have fixed two issues in the code provided:
- The computation of the step size at each iteration of the conjugate gradient algorithm initially assumed that the grids over which (1) the plane waves were propagated and (2) the sound speed was reconstructed were the same. However, we interpolate the backprojection in (1) onto the grid in (2). To account for the change in the voxel size we added a
grid_conv_factor
to both the MATLAB and Python code. - The code initially provided for the work presented at SPIE Medical Imaging 2022 assumed that the source waveform was known exactly in both shape and amplitude. However, it is practically impossible to know the source waveform exactly, so source estimation must be automated. I've provided an implementation of source estimation (requested by zero34521 above) as a frequency-dependent complex-valued scaling factor that can vary with each transmission. The updated code tests the waveform inversion algorithm with source estimation by applying a random complex-valued scaling to each frequency in the transmitted waveform. However, automated source estimation also makes waveform inversion less robust to cycle skipping, so we also adjusted our conjugate gradient algorithm and increased the number of iterations to offset this issue. I will discuss this tradeoff between automated source estimation and cycle skipping in a future work.
from fullwaveforminversionusct.
Related Issues (1)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fullwaveforminversionusct.