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inverseproblems-finalproject's Introduction

Topics in Inverse Problems (0372-4025) - Final Project

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This is a project submitted as a requirement for this course. The course was administered in Spring 2020 in Tel-Aviv University - School of Mathematical Sciences, and taught by Dr. Dmitry Batenkov. This project is a comparison of methods for tomographic reconstruction. This concept is the basis behind CT imaging techniques

Getting Started

The code can be fetched from this repo. Any questions about this project may be sent by mail to 'eladeatah' at mail.tau.ac.il or 'asafabs' at gmail.com or 'tmrlv95' at gmail.com (replace 'at' by @).

Prerequisites

This code was developed for Windows10 OS and tested using the following Python 3.7 and 3.8 dependencies. These dependencies are listed in requirements.txt. All these packages can be installed using the 'pip' package manager (when the command window is in the main directory where requirements.txt is located):

pip install -r requirements.txt

All the packages, except for Sacred, are available as well using 'conda' package manager.

License

This project is licensed under the MIT License - see the LICENSE file for details

References

[1] https://www.sciencedirect.com/science/article/pii/B9780123744579000263.

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inverseproblems-finalproject's Issues

Problem running SampleRateExperiment 

WARNING: No observers have been added to this run
About to create experiment of type Sample-Rate Experiment on database Shepp-Logan Phantom
Done creating experiment
About to run experiment
ERROR: Failed after 0:01:02!
Traceback (most recent calls WITHOUT Sacred internals):
  File "./main.py", line 119, in main
    experiment_log, output_images = experiment.run()
  File "./Experiments/sample_rate_experiment.py", line 106, in run
    estimated_image: Matrix = solver(downsampled_sinogram,
  File "./Experiments/sample_rate_experiment.py", line 62, in <lambda>
    solver = lambda *args : cached_solver(get_solver(self._solver), *args)
  File "./Experiments/sample_rate_experiment.py", line 329, in cached_solver
    res = solver(*args)
  File "./Solvers/fbp_and_sart.py", line 41, in sart
    sinogram_error: Scalar = np.linalg.norm(R.dot(estimated_image.flatten()) - sinogram.flatten('F'), ord=2)
ValueError: shapes (160,160) and (25600,) not aligned: 160 (dim 1) != 25600 (dim 0)

About to run solver SART
Shape of downsampled sinogram is (160, 160)
Shape of downsampled thetas is (160,)
Hash is 3e9079481462aa39d57f2d8b5f72d550d41fd4d94e275bb67e61d078e3c0153e

Process finished with exit code 1

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