Title:A Survey of PET Image Segmentation: Applications in Oncology, Cardiology and Neurology
Volume: 12
Author(s): Abir Baazaoui, Walid Barhoumi, Ezzeddine Zagrouba and Rostom Mabrouk
Affiliation:
Keywords:
Cardiology, deformable models, multi-modal segmentation, neurology, oncology, PET image, thresholding-based
segmentation.
Abstract: Positron Emission Tomography, which is a functional imaging technique, measures in
three-dimension the bio-distribution of a radiotracer in a specific organ or tissue. Thanks to tracer
characteristics, the PET imaging was successfully experimented into several applications in oncology,
cardiology and neurology for clinical and research trials. The segmentation of PET image is a mandatory
step in all PET applications since it allows to relay imaged tracer uptake within a region of interest
to its underlying biology. However, manual segmentation was limited by its time consuming, labor
intensive and its high intra- and inter-operator variability. Therefore, several automated PET image segmentation methods
were developed. In this paper, we presented the most relevant methods in the literature including thresholding-based
methods of static PET images, deformable models for cardiac PET studies and mono and multi-modal segmentation
methods for brain PET images.
