Faludi, Balázs. Volume rendering for surgical planning in virtual reality. 2025, Doctoral Thesis, University of Basel, Faculty of Medicine.
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Official URL: https://edoc.unibas.ch/96850/
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Abstract
The number of high-complexity surgeries has been steadily increasing over the last decades. One reason for this is the demographic trend of an aging population observed in many countries, which results in an increasing number of patients requiring complex interventions. Another important factor is the development and continued improvement of advanced surgical techniques and devices, such as minimally invasive surgeries, which enable surgeons to treat more challenging cases successfully. While these techniques can improve the surgical outcome, they are also considerably more difficult and require careful planning and training.
Surgical planning of complex cases is typically done using volumetric medical images, such as computed tomography (CT) scans or magnetic resonance imaging (MRI) data sets. These modalities capture the imaging subject in three dimensions, allowing a more detailed analysis of the patient's anatomy compared to the planar projection created by an X-ray device. Despite the three-dimensional
Surgical planning of complex cases is typically done using volumetric medical images, such as computed tomography (CT) scans or magnetic resonance imaging (MRI) data sets. These modalities capture the imaging subject in three dimensions, allowing a more detailed analysis of the patient's anatomy compared to the planar projection created by an X-ray device. Despite the three-dimensional
Advisors: | Cattin, Philippe Claude |
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Committee Members: | Jost, Gregory and Pajarola, Renato |
Faculties and Departments: | 03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin) |
UniBasel Contributors: | Cattin, Philippe Claude |
Item Type: | Thesis |
Thesis Subtype: | Doctoral Thesis |
Thesis no: | 15613 |
Thesis status: | Complete |
Number of Pages: | xi, 128 |
Language: | English |
Identification Number: |
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edoc DOI: | |
Last Modified: | 12 Feb 2025 05:30 |
Deposited On: | 11 Feb 2025 09:18 |
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