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3D Reconstruction of the Deformed Breast Surface from Autonomously Acquired Ultrasound Images
Sequeira, Sheona M.M.D.P (2021) 3D Reconstruction of the Deformed Breast Surface from Autonomously Acquired Ultrasound Images.
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| Abstract: | Research is currently being done to improve the sensitivity of breast cancer detection by fusing breast volumes acquired from Magnetic Resonance (MR) Imaging and Ultrasound (US) together. Attributing to the highly restrictive nature of the MR environment, both these image volumes are acquired separately. Hence, making a surface reconstruction an essential requirement for performing accurate fusion. In the current implementation, the surface reconstruction is done with the help of a stereo camera and multi-modality markers that are placed on the breast surface. The positions of these markers, however, need to be maintained constant throughout the procedure, thus posing a challenge in a clinical environment. The purpose of this study is to perform the 3D breast surface reconstruction with autonomously acquired US images. The surface reconstruction algorithm is built by exploiting the transition area between the instances of contact and no contact between the US probe and the breast surface. Validation of the algorithm is done on a realistic breast phantom by performing several experiments with varying amounts of desired contact between the two surfaces as well as with varying US probe orientations. On taking the average of 10 scans per experiment, a minimal error of 3.87 mm was obtained when the US probe was in horizontal orientation and with a desired amount of contact of 30% of the US probe width. This algorithm has potential to eliminate the need of marker and a camera scan, making the setup for performing MR/US fusion more feasible for clinical implementation. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 53 electrotechnology |
| Programme: | Electrical Engineering MSc (60353) |
| Link to this item: | https://purl.utwente.nl/essays/87827 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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