Strategies of statistical windows in PET image reconstruction to improve the user's real time experience
Nowadays, with the increase of the computational power of modern computers together with the state-of-the-art reconstruction algorithms, it is possible to obtain Positron Emission Tomography (PET) images in practically real time. These facts open the door to new applications such as radio-pharmaceut...
Saved in:
Published in | Journal of physics. Conference series Vol. 931; no. 1; pp. 12025 - 12028 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.11.2017
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Nowadays, with the increase of the computational power of modern computers together with the state-of-the-art reconstruction algorithms, it is possible to obtain Positron Emission Tomography (PET) images in practically real time. These facts open the door to new applications such as radio-pharmaceuticals tracking inside the body or the use of PET for image-guided procedures, such as biopsy interventions, among others. This work is a proof of concept that aims to improve the user experience with real time PET images. Fixed, incremental, overlapping, sliding and hybrid windows are the different statistical combinations of data blocks used to generate intermediate images in order to follow the path of the activity in the Field Of View (FOV). To evaluate these different combinations, a point source is placed in a dedicated breast PET device and moved along the FOV. These acquisitions are reconstructed according to the different statistical windows, resulting in a smoother transition of positions for the image reconstructions that use the sliding and hybrid window. |
---|---|
ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/931/1/012025 |