Semi-Automated segmentation for accurate quantitation of PET and low-dose CT phantom images

Semi-Automated segmentation in Positron Emission Tomography (PET) scans can be difficult to achieve accurately given the low spatial resolution and lack of anatomical landmarks. To improve the accuracy and effectiveness of this task, the use of CT scan images is often incorporated to complement the PET data and add anatomical data as a reference. Through the combination of these two imaging techniques, the detection algorithm instituted will have a higher accuracy and success rate with the segmentation of the desired organ. The early stages of the project focuses on the segmentation of PET and low-dose CT phantom images individually, and once the segmentation has reached an acceptable level of accuracy the combination information of PET and CT images will be added.