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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.
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
Mentor 1
Linkedin: https://www.linkedin.com/in/louis-chen-801214109/
Mentor 2
Number of mentees
3
Type of mentees and Collaborator
Collaborator 1: @Vaishakgkumar
Collaborator 2: Duong Do
Collaborator 3: Thembelihle Dlamini
Collaborator 4: Reem Abdel-Salam
Mentee 1: @MiikaVuorio
Mentee 2: @SiddharthaMorales