University of Twente Student Theses
US-CT image registration for multimodal motion model application
Samoylenko, A. (2024) US-CT image registration for multimodal motion model application.
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| Abstract: | In this work, a motion model transformation workflow consisting of two steps is developed. Firstly, the motion model is created using ultrasound (US) modality. Secondly, it is transformed into a computed tomography (CT) modality space, which enables improved spatial resolution. To achieve this, novel vessel segmentation algorithms for US and CT modalities were developed, along with two registration approaches: 2D US to 3D CT and 3D US to 3D CT. The initial US model is trained with data obtained from an electromagnetic (EM) sensor placed on the surface of the phantom. To evaluate the model performance in the CT space, CBCT volumes were obtained in 10 different positions of the breathing cycle. Tumor coordinates in the CT space were extracted from these volumes and compared to those predicted by the motion model. The possibility of applying a motion model trained in a different position of the EM field generator was also explored. The mean absolute error varied between 0.138 and 4.756 mm for various experiments and experimental protocols. The obtained results indicate that a motion model transferred from the US to the CT modality can be used in interventions requiring high positional precision of instruments. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine, 50 technical science in general |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/102129 |
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