Year-end Sale % OFF 
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. Keywords: Cardiology, deformable models, multi-modal segmentation, neurology, oncology, PET image, thresholding-based segmentation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
