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在单光子发射计算机断层显像(SPECT)中采用贝叶斯重建减少准直器校正伪影

Reduction of collimator correction artefacts with bayesian reconstruction in spect.

作者信息

Kangasmaa Tuija, Sohlberg Antti, Kuikka Jyrki T

机构信息

Department of Radiation Therapy, Vaasa Central Hospital, Hietalahdenkatu 2-4, 65100 Vaasa, Finland.

出版信息

Int J Mol Imaging. 2011;2011:630813. doi: 10.1155/2011/630813. Epub 2010 Dec 1.

DOI:10.1155/2011/630813
PMID:21490730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3065867/
Abstract

Poor resolution of single photon emission computed tomography (SPECT) has degraded its use in clinical practice. Collimator correction has been shown to improve the reconstructed resolution, but the correction can generate ringing artefacts, which lower image quality. This paper investigates whether Bayesian reconstruction methods could reduce these artefacts. We have applied and tested three Bayesian reconstruction methods: smoothing prior, median root prior, and anatomical prior. To demonstrate the efficacy of these methods, we compared their physical and visual performance both in phantom and patient studies. All the three Bayesian reconstruction methods reduced the collimator correction artefacts. Images reconstructed using the smoothing prior and the median root prior had slightly lower contrast than the standard reconstruction with collimator correction, whereas the anatomical prior produced images with good resolution and contrast.

摘要

单光子发射计算机断层扫描(SPECT)分辨率欠佳,已使其在临床实践中的应用受到限制。准直器校正已被证明可提高重建分辨率,但这种校正会产生振铃伪影,从而降低图像质量。本文研究贝叶斯重建方法是否能够减少这些伪影。我们应用并测试了三种贝叶斯重建方法:平滑先验、中值根先验和解剖学先验。为证明这些方法的有效性,我们在体模和患者研究中比较了它们的物理性能和视觉效果。所有这三种贝叶斯重建方法均减少了准直器校正伪影。使用平滑先验和中值根先验重建的图像对比度略低于采用准直器校正的标准重建图像,而解剖学先验产生的图像具有良好的分辨率和对比度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/88247f1f0b79/IJMI2011-630813.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/a554e48d0d45/IJMI2011-630813.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/b2513bab74ce/IJMI2011-630813.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/e9a308d8f3a5/IJMI2011-630813.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/2c8fdbdbca43/IJMI2011-630813.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/8b7b5be1596d/IJMI2011-630813.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/078dba1c4b09/IJMI2011-630813.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/88247f1f0b79/IJMI2011-630813.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/a554e48d0d45/IJMI2011-630813.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/b2513bab74ce/IJMI2011-630813.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/e9a308d8f3a5/IJMI2011-630813.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/2c8fdbdbca43/IJMI2011-630813.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/8b7b5be1596d/IJMI2011-630813.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/078dba1c4b09/IJMI2011-630813.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b264/3065867/88247f1f0b79/IJMI2011-630813.007.jpg

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