Advisor: Nassir Navab
Supervision by: Kuangyu Shi Ph.D.
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Title: | Tumor segmentation based on dynamic PET measurement |
Abstract: | Modern cancer therapy has extended the frontline to tumor substructures. Molecular imaging makes it possible to identify underlying biological features of malicious lesions. As one important clinical imaging modality, positron emission tomography (PET) reveals the metabolic and pathological properties. Dynamic PET measurement has its potential to explore more information based on the kinetic difference of tumor microenvironment. This information could be used to assist cancer diagnosis, therapy planning and so on. After injection, radio labeled tracers experience different delivery, metabolism and clearance in Patients. The variant shapes of time activity curves (TAC), which are responses according time detected by PET, indicate different pathological characteristics of the targets. The goal of this project is to generate classification of substructures of solid tumors based on the quantitative and morphological features of TACs. Through trying different algorithms and criteria it is possible to have the clusters of different tumor features, such as hypoxia, necrosis and so on. The clusters could be validated through other imaging modalities and further with microscopic images. |
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Director: | Nassir Navab |
Supervisor: | Kuangyu Shi |
Type: | Master Thesis |
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Status: | open |
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