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Analysis of compressed sensing based computed tomography reconstruction

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posted on 2024-07-12, 15:04 authored by Wen Hou
X-ray computed tomography (CT) has been a popular medical imaging modality that plays an important role in diagnosis and thus benefits patients greatly. In general, a considerable amount of X-ray radiation is needed for the production of CT images of high quality, but increased X-ray radiation dose can damage healthy cells and raise the risk of cancer. On the other hand, compressed sensing technology is an emerging research area which recovers signals from far fewer samples than traditionally required by the Shannon-Nyquist sampling theorem. To sum up, we studied in this thesis the application of compressed sensing to CT to reduce the X-ray radiation dose to patients and preserve imaging quality.

History

Thesis type

  • Thesis (PhD)

Thesis note

Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Swinburne University of Technology, 2015.

Copyright statement

Copyright © 2015 Wen Hou.

Supervisors

Cishen Zhang

Language

eng

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