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This repository was archived by the owner on May 7, 2025. It is now read-only.
This repository was archived by the owner on May 7, 2025. It is now read-only.

Quantum Computing for Tomographic Image Reconstruction #27

Description

@Louisanity

Description

We aim to improve the tomographic image reconstruction technique to produce high-quality images using fewer measurements and a low signal-to-noise ratio. Our goal is to reduce patient discomfort and radiation exposure in clinical imaging. To achieve this objective, we propose using a quantum computer and associated hybrid methods (or any better proposal) for solving the ill-posed inverse problem of tomographic reconstruction.

We are extensively testing that the quantum algorithm can be a better solution than the classical methodology. There is a result demonstrating that their method produces accurate reconstructed binary and integer-valued images of up to 32×32 pixels, competing with traditional reconstruction algorithms while being more robust to noise and producing accurate results from a few projections. This work will help us prepare the quantum algorithm for later large-scale implementation.

More detail about previous research:

https://arxiv.org/pdf/2212.01312.pdf
(Research work done by adiabatic quantum computer)

Deliverables

Research Paper

Mentors details

Number of mentees

3

Type of mentees and Collaborator

  • Collaborator 1: @Vaishakgkumar

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing
  • Collaborator 2: Duong Do

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing
  • Collaborator 3: Thembelihle Dlamini

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing
  • Collaborator 4: Reem Abdel-Salam

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing
  • Mentee 1: @MiikaVuorio

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing
  • Mentee 2: @SiddharthaMorales

    • Required: Required: Time to work on the project (~10 hours/week)
    • Nice to have:
      • Experience in Machine Learning (and/or) Image Processing

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