[1]林嘉慧,边兆英,马建华,等.数据冗余信息引导的低剂量心肌灌注CT成像方法[J].南方医科大学学报,2018,(01):27.
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数据冗余信息引导的低剂量心肌灌注CT成像方法()
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《南方医科大学学报》[ISSN:/CN:]

卷:
期数:
2018年01期
页码:
27
栏目:
出版日期:
2018-01-20

文章信息/Info

Title:
Redundancy information-induced image reconstruction for low-dose myocardial perfusion computed tomography
作者:
林嘉慧边兆英马建华黄静陶熙曾栋郭宏
关键词:
低剂量心肌灌注CT非局部均值正则化全变分正则化
Keywords:
low-dose myocardial perfusion computed tomography non-local means total variation
摘要:
目的心提出一种数据冗余信息引导的低剂量心肌灌注CT成像方法。方法考虑到心肌灌注CT图像帧内含有丰富的结 构冗余性,且帧间具有高度的相似性,本文提出基于非局部均值滤波(NLM)和全变分(TV)混合框架的惩罚加权最小二乘 (PWLS)图像重建模型,简称为PWLS-aviNLM-TV。该模型利用了帧间结构相似性和帧内数据冗余性,能有效消除重建图像中 的噪声和伪影,提高灌注序列图像帧内空间分辨率与帧间时间分辨率。结果PWLS-aviNLM-TV相比PWLS-TV和PWLSaviNLM 能更好地去除心肌灌注图像中的噪声和伪影,同时较好保持图像边缘和细节信息,进而有效区分缺血心肌与正常心 肌。结论数据冗余信息引导的重建算法可有效改善低剂量心肌灌注CT成像质量,更好地为临床影像诊断服务。
Abstract:
Objective In the clinic, myocardial perfusion computed tomography (MPCT) imaging is commonly used to detect and assess myocardial ischemia quantitatively. However, repeated scanning on the myocardial region in the cine mode will increase the radiation dose for patients. With lowering radiation dose, the quality of images are degraded by noise induced artifact, which hampers the diagnostic accuracy. Therefore, in this paper, we propose a redundancy information induced iterative reconstruction framework for high quality MPCT images at the case of low dose. Methods MPCT images have redundant structural information within frames and highly similarity between adjacent frames. Inspired by the two properties, in this work we propose a penalized weighted least-squares (PWLS) model incorporating NLM and TV based hybrid constraints, which is referred to as PWLS-aviNLM-TV for simplicity. The proposed algorithm can effectively eliminate noise and artifacts by taking into account the similarity between adjacent frames and redundancy information within frames, which also can improve spatial resolution within frames and maintain temporal resolution. Results The experimental results on the 4D extended cardiac-torso (XCAT) phantom and preclinical porcine dataset demonstrates that the PWLS-aviNLM-TV algorithm obtains better performance in terms of noise reduction and artifacts suppression than the PWLS-TV and PWLSaviNLM algorithm. Moreover, the proposed algorithm can preserve the edges and detail information thereby efficiently differentiate ischemia from myocardium. Conclusion The present redundancy information induced reconstruction algorithm can reconstruct high-quality images from low-dose MPCT for better clinical imaging diagnosis.

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更新日期/Last Update: 1900-01-01