Enhancing cone-beam computed tomography image quality using improved denoising diffusion probabilistic model
Cone beam computed tomography (CBCT) is an important tool for many clinical and industrial applications. Compared with conventional fan-beam CT scans, CBCTs require less radiation exposure and shorter scanning time. However, CBCTs have limitations such as poor tissue contrast, image artifacts, and u...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167998 |