Iterative reconstruction with an edge-preserving prior for PET
Date Issued
2015
Date
2015
Author(s)
Huang, Chang-Han
Abstract
Positron emission tomography (PET) is a nuclear medicine technique that can help the doctor to diagnose the disease such as tumor, cancer, or brain disease. However, there are still some disadvantages in PET system. For example, comparing with the different medical imaging modalities, the spatial resolution of PET is relatively poor. If we can improve the image quality, PET can provide more image information for doctors diagnosing disease. In this work, we applied the OpenGATE package to simulate the PET system and compared the efficacy of different reconstruction algorithms. We took advantages of the edge-preserving prior for PET image reconstruction to improve PET image quality. In this work we also employed the medical image data from National Taiwan University Hospital. We developed a multi-modality imaging platform to register functional and anatomical images. This allowed for a quantitative and objective diagnosis of Alzheimer’s disease (AD). AD is an irreversible, progressive brain disease that slowly destroys memory and thinking skills. Early treatment could slow down the damage caused by AD. The knowledge of the anatomical features in MR and CT images can be exploited to better evaluate the tracer dynamics in PET images by first registering anatomical information from MRI with CT images and then with functional information contained in PET. With all of methods, an early diagnosis of may be anticipated.
Subjects
PET
image reconstruction
image registration
SDGs
Type
thesis