优化去卷积算法下计算机断层扫描灌注成像在急性脑梗死诊断中的应用

Adoption of computerized tomography perfusion imaging in the diagnosis of acute cerebral infarct under optimized deconvolution algorithm.

作者信息

Fang Bo, Zhai Hongjiang

机构信息

Bo Fang, associate chief physician. Department of Neurology, Lu'an People's Hospital Affiliated to Anhui Medical University, Lu'an, 237005, Anhui Province, China.

Hongjiang Zhai, chief physician. Department of Neurology, Lu'an People's Hospital Affiliated to Anhui Medical University, Lu'an, 237005, Anhui Province, China.

出版信息

Pak J Med Sci. 2021;37(6):1687-1692. doi: 10.12669/pjms.37.6-WIT.4884.

DOI:10.12669/pjms.37.6-WIT.4884

PMID:34712307

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8520374/

Abstract

OBJECTIVES

To explore the significance of the hemodynamic parameters of Computerized Tomography Perfusion Imaging (CTPI) under the deconvolution optimization algorithm for the diagnosis and treatment of patients with acute cerebral infarct (ACI).

METHODS

A hundred and ten patients with ACI from December 2018 to September 2019 were selected for research, and CTPI was performed before and after Edaravone injection treatment. Then, the CTPI deconvolution algorithm based on the weighted adaptive (WA) total variation (TV) (WA-TV) optimization was constructed, which was compared with tensor total variation (TTV) and Motion-adaptive sparse parity (MASP). Brain Perfusion 4.0 was applied to obtain the relative time to peak (rTTP), the relative transit time of mean (rMTT), relative cerebral blood volume (rCBV), and relative cerebral blood flow (rCBF) of the core infarction area (CIA) and penumbra ischemic (PI).

RESULTS

In four parameters of rTTP, rMTT, rCBV, and CBF, the peak signal to noise ratio (PSNR) of the WA-TV algorithm was higher than the MSAP and TTV algorithms, while the Mean Square Error (MSE) and Mean Absolute Error (MAE) were lower than MSAP and TTV algorithms (P<0.05); the parameters of rCBV (71.56±9.87), rCBF (43.17±7.06) of the CIA before treatment were higher than PI (23.66±7.22; 18.37±3.99), rMTT (124.83±9.73) and rTTP (122.57±7.41) were lower than the PI (183.17±10.16); 150.74±9.74) (P<0.05). After treatment, the rCBV and rCBF of PI were higher than before treatment, and rMTT and rTTP were lower than before treatment (P<0.05), and there was no obvious difference in rCBV, rCBF, rMTT, and rTTP before and after treatment in the CIA (P>0.05).

CONCLUSION

Compared with TTV and MASP, the WA-TV algorithm performs better in noise reduction and artifact reduction. The CTPI parameters of rCBV, rCBF, rMTT, and rTTP are all important indications for the diagnosis of PI and ACI.

摘要

目的

探讨去卷积优化算法下的计算机断层扫描灌注成像（CTPI）血流动力学参数对急性脑梗死（ACI）患者诊断及治疗的意义。

方法

选取2018年12月至2019年9月的110例ACI患者进行研究，在依达拉奉注射治疗前后行CTPI检查。构建基于加权自适应（WA）全变差（TV）（WA-TV）优化的CTPI去卷积算法，并与张量全变差（TTV）和运动自适应稀疏奇偶（MASP）算法进行比较。应用Brain Perfusion 4.0获取核心梗死区（CIA）和半暗带缺血区（PI）的相对达峰时间（rTTP）、平均相对通过时间（rMTT）、相对脑血容量（rCBV）和相对脑血流量（rCBF）。

结果

在rTTP、rMTT、rCBV和CBF四个参数中，WA-TV算法的峰值信噪比（PSNR）高于MSAP和TTV算法，而均方误差（MSE）和平均绝对误差（MAE）低于MSAP和TTV算法（P<0.05）；治疗前CIA的rCBV（71.56±9.87）、rCBF（43.17±7.06）参数高于PI（23.66±7.22；18.37±3.99），rMTT（124.83±9.73）和rTTP（122.57±7.41）低于PI（183.17±10.16；150.74±9.74）（P<0.05）。治疗后，PI的rCBV和rCBF高于治疗前，rMTT和rTTP低于治疗前（P<0.05），CIA治疗前后的rCBV、rCBF、rMTT和rTTP无明显差异（P>0.05）。