University of Twente Student Theses
Comparing different reconstruction algorithms by determining the MTF of the reconstructed images from a breast CT
Wit, L.F. de (2024) Comparing different reconstruction algorithms by determining the MTF of the reconstructed images from a breast CT.
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| Abstract: | Breast cancer is the most commonly diagnosed cancer among Dutch women with a diagnosis percentage of 31%. Digital two-view mammography (DM) is the current standard imaging technique for breast cancer diagnosis and detection. But recently questioning concerning the suitability of DM has been rising, along with the potential of different imaging techniques. Breast CT (BCT) is one of these techniques and it the main topic of this report. In BCT an image of the breast tissue is acquired using X-ray, the image then gets reconstructed and processed for evaluation. There are different reconstruction algorithms that can be used, like filtered back projection (FBP) and iterative reconstruction (IR). To find the best reconstruction algorithm, they can be compared using the reconstructed images and the determined modulation transfer function (MTF). In this research, two experiments are done. The first experiment is to create a suitable phantom for further testing. Here measurements are done using different liquids and comparing their Hounsfield Unit values. The results showed that tap water is the best option, but also that further testing and research is necessary. The second experiment is to reconstruct images using Feldkamp-Davis-Kress (FDK) FBP with different filters and also reconstruct images using IR with different filters. After determining the MTF, the results are compared. Based on the results, FDK FBP with Shepp-Logan filter and additional filtering was determined to be the best reconstruction algorithm (combination). However, the used phantom was deemed unsuitable for accurate results and a reliable conclusion. Thus, further research should be done and the experiments need to be redone using a different phantom. |
| Item Type: | Essay (Bachelor) |
| Faculty: | TNW: Science and Technology |
| Programme: | Biomedical Technology BSc (56226) |
| Link to this item: | https://purl.utwente.nl/essays/98028 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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