- Restrictions on Access:
- Open Access.
- The field of medical imaging, specifically ultrasound imaging and therapy, relies heavily on thevisualization and proper image reconstruction of ultrasound data. Tools for visualizing ultrasounddata and algorithmic methods for image processing have been widely used for medical purposes.Among the vast benefits of ultrasound in medicine is tissue ablation, which is the destruction of diseased tissue cells with heat, delivered using high-intensity focused ultrasound (HIFU). Challengeswith this process arise when having to effectively target and ablate a region of tissue under theskin. This thesis sought to utilize computer graphics to achieve a 3D model that depicts the HIFUtransducer targeting tissue imaged by B-mode ultrasound. OpenGL is an extensive and low-levelgraphics application programming interface (API) that was used to achieve this model rendering.The toolkit Qt was used to build a graphical user interface that incorporates Qts OpenGL library.The application modeled a volume of tissue by compounding B-mode image slices. The focal pointof the HIFU beamthe point of highest intensitywas visualized in the model and could be adjusted to choose the site for tissue ablation. Wave propagation was studied, and the finite differencemethod was considered as a means to solve the acoustic wave equation to incorporate ultrasoundwave visualization within the rendered scene in the future. The program has the potential to bescaled to incorporate Computed Unified Device Architecture (CUDA), NVIDIAs graphics processor programming toolkit, which would provide sufficient processing power and parallelizationto render the 3D models in real-time. The programming work expanded upon current research withthe goal of increasing the accuracy of ultrasound therapy and cancer treatment. This honors thesisexplores new methods for accomplishing 3D ultrasound imaging and a means of enhanced in vivovisualization for effective HIFU tissue ablation.
- Dissertation Note:
- B.S. Pennsylvania State University 2019.
- Technical Details:
- The full text of the dissertation is available as an Adobe Acrobat .pdf file ; Adobe Acrobat Reader required to view the file.
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