NDLI: Dynamic PET image reconstruction using a spatial-temporal edge-preserving prior

Content Provider	IEEE Xplore Digital Library
Author	Zhaoying Bian Jianhua Ma Lijun Lu Jing Huang Hua Zhang Wufan Chen
Copyright Year	2013
Description	Author affiliation: Sch. of Biomed. Eng., Southern Med. Univ., Guangzhou, China (Zhaoying Bian; Jianhua Ma; Lijun Lu; Jing Huang; Hua Zhang; Wufan Chen)
Abstract	Dynamic positron emission tomography (PET) imaging provides important quantitative information of physiological and biochemical processes in humans and animals. However, due to short-time acquisitions to obtain a time sequence of images for parametric imaging, the signal-to-noise ratio of measurement data in each time frame is often very low, which leads the dynamic PET image reconstruction to be a challenging task. And some noticeable errors are inevitable transferred to the voxel-wise kinetic parameter imaging from the associative noisy TAC measurements. To tackle this problem, maximum a posteriori (MAP) statistical reconstruction methods are widely used by incorporating some prior information. Conventional priors focus on local neighborhoods in individual image frames and subsequently penalize inter-voxel intensity differences through different penalty functions such as the quadratic membrane smoothing prior and non-quadratic edge-preserving prior, failing to explore the temporal information of dynamic PET data. In this paper, we design a spatial-temporal edge-preserving (STEP) prior model under the framework of bilateral filter by considering both the spatial local neighborhoods and the temporal kinetic information. Experimental results via a computer simulation study demonstrate that the present dynamic PET reconstruction method with the STEP prior can achieve noticeable gains than the conventional Huber prior in term of signal-to-noise and bias-variance evaluations for the parametric images.
Starting Page	1
Ending Page	4
File Size	285892
Page Count	4
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829218
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Image reconstruction Kinetic theory Heuristic algorithms Signal to noise ratio
Content Type	Text
Resource Type	Article

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