This master thesis undertakes a pioneering exploration at the crossroads of medical imaging and mechanical design, focusing on the intricate process of 3D modeling. The core of the investigation lies in the utilization of Fusion 360, a powerful computer-aided design (CAD) software, to refine and compare two distinct segmentations derived from medical imaging datasets. The methodology unfolds with the acquisition of computerized tomography (CT) scans, laying the groundwork for detailed segmentations. Two case studies, each presenting segmentation of the same patient become the focal point for adjustments and enhancements within the Fusion 360 environment. Unlike conventional 3D printing-focused approaches, this study directs its attention toward mechanical design, introducing joints to anatomical structures to facilitate a sophisticated assembly. The thesis intricately details the process of refining the segmentations in Fusion 360, addressing nuances and complexities unique to each case study. The comparative analysis serves as a critical evaluation, shedding light on the software's capabilities in handling diverse medical imaging datasets and adapting them to meet the demands of jointed anatomical structures. While the proposed 3D models are not physically printed, the thesis underscores the transformative potential of Fusion 360 in advancing anatomical precision. The comparative study provides insights into the adaptability and efficiency of Fusion 360 in refining medical segmentations, laying the foundation for future endeavors at the intersection of medical imaging and mechanical design.
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9
English
Imatgeria tridimensional en medicina; Three-dimensional imaging in medicine; Disseny assistit per ordinador; Computer-aided design; Tomography -- Data processing; Tomografia; X-ray; Raig X
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/