@inproceedings{19714cd96d4e4f7f8e82a00675135ae5,
title = "Perfusion computed tomography image reconstruction using spatio-temporal constrained edge-preserving prior",
abstract = "Cerebral perfusion CT (PCT) imaging has been increasingly used in clinics, which can provide crucial cerebral perfusion parameters of a patient for checking acute stroke or other cerebrovascular diseases. Meanwhile, the associated Xray radiation in PCT imaging has arisen a significant concern in CT fields. In this paper, a spatio-temporal constrained (STC) edge-preserving prior was proposed for yielding high quality images in low-dose PCT reconstruction. Rather than taking each frame independently, we consider the time series PCT image as an entity. The present STC prior with the {"}time{"} dimensions is explicitly incorporated into the reconstruction process by using spatial and temporal constraints. A modified digital Shepp-Logan phantom and some clinical brain perfusion CT images were acquired to evaluate the present STC edge-preserving based iterative image reconstruction approach. The results show that the presented algorithm could yield images with suppressed the noise-induced artifacts. More important, the associated brain perfusion parameters can be calculated more reliable and accuracy than the commercial used FBP method.",
keywords = "Spatio-Temporal constrain, edge-preserving prior, low-dose, perfusion CT",
author = "H. Zhang and J. Ma and J. Huang and Z. Bian and L. Tian and L. Lu and Y. Gao and J. Li and W. Chen",
year = "2013",
doi = "10.1007/978-3-642-29305-4\_220",
language = "英语",
isbn = "9783642293047",
series = "IFMBE Proceedings",
pages = "838--841",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
note = "World Congress on Medical Physics and Biomedical Engineering ; Conference date: 26-05-2012 Through 31-05-2012",
}