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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 45399 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Fatemi Zadeh, Emad
- Abstract:
- Advancements in medical imaging, especially 3D imaging, leads to progressive growth of image processing for diagnosis, studying behavior of organs and development of disease. Therefore many researches have been done on segmentation, registration, modeling and 3D image refinement. In this thesis, we want to parameterize anatomic surfaces, using volume parameterization model.
Hippocampus is one of the most important components in brain that plays significant role in learning, memory, stress management and etc. There is been a theory that, shape and structure of hippocampus may change in diseases like Alzheimer, schizophrenia, chronic depression and epilepsy.
The aim of this research is to trace hippocampus probable deformation, using surface parameterization.
Spherical harmonics and harmonic fields both are used for modeling 3D images. Spherical harmonics describes image with specific coefficients and also rebuilds it with great accuracy. Outcome of harmonic fields is hexahedral mesh that can trace changes in shapes. In this thesis, both of these models are implemented on hippocampus data. Finally harmonic fields is implemented on results of spherical harmonics, as expected obtained mesh has better compatibility with original image - Keywords:
- Mesh Design ; Spherical Harmonics ; Parametrization ; Harmonic Fields ; Hippocampus
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