| 张梦圆,王落桐,原典,张怡存,齐珂,张炜珽,张炯,岳松伟,高剑波,刘杰.深度学习图像重建算法用于"双低"脑CT灌注成像[J].中国医学影像技术,2025,41(5):799~805 |
| 深度学习图像重建算法用于"双低"脑CT灌注成像 |
| Deep learning image reconstruction algorithm in brain CT perfusion imaging with low tube voltage and reduced contrast agent dosage |
| 投稿时间：2024-09-19 修订日期：2025-04-16 |
| DOI：10.13929/j.issn.1003-3289.2025.05.022 |
| 中文关键词: 脑 灌注成像 体层摄影术,X线计算机 图像处理,计算机辅助 辐射剂量 |
| 英文关键词:brain perfusion imaging tomography, X-ray computed image processing, computer-assisted radiation dosage |
| 基金项目:河南省卫生健康委员会科技攻关项目(232102310098)。 |
| 作者 | 单位 | E-mail | | 张梦圆 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 王落桐 | 通用电气医疗中国CT影像研究中心, 北京 100176 | | | 原典 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 张怡存 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 齐珂 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 张炜珽 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 张炯 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 岳松伟 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 高剑波 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | | | 刘杰 | 郑州大学第一附属医院放射科, 河南 郑州 450052 | liujieict@163.com |
|
| 摘要点击次数: 63 |
| 全文下载次数: 11 |
| 中文摘要: |
| 目的 观察深度学习图像重建(DLIR)算法用于70 kVp、40 ml对比剂用量方案("双低")全脑CT灌注成像(CTP)的价值。方法 前瞻性纳入105例疑诊急性缺血性脑卒中患者并随机将其分为3组,分别接受常规标准剂量80 kVp、150 mA扫描联合自适应统计迭代重建(ASIR-V)50%水平重建(CN组,n=35),低剂量(LD)70 kVp、100 mA扫描联合DLIR最高档(DLIR-H)重建(LD组,n=35),以及超低剂量(ULD)70 kVp、70 mA扫描联合DLIR-H重建(ULD组,n=35),比较各组辐射剂量。测量额叶、顶叶、颞叶灰质和白质ROI内的CT值及CT值标准差(SDCT),计算信噪比(SNR)及灰质与白质的对比度噪声比(CNR)并进行组间比较。生成脑血容量(CBV)、脑血流量(CBF)、平均通过时间(MTT)及残余组织达峰时间(Tmax)伪彩图并进行主观评分,以Kappa检验分析其主观评分的一致性;测量灌注参数值并进行组间比较。结果 相比CN组,LD组与ULD组容积CT剂量指数(CTDIvol)、剂量长度乘积(DLP)及有效剂量(ED)均降低(校正P均＜0.05)。ULD组额叶、顶叶及颞叶白质SDCT均高于CN组,顶叶白质SDCT高于LD组(校正P均＜0.05),组间灰质SDCT差异均无统计学意义(P均＞0.05)。LD组及ULD组顶叶及颞叶白质SNR均低于CN组(P均＜0.05),组间额叶白质及额叶、顶叶及颞叶灰质SNR差异均无统计学意义(P均＞0.05)。3组间额叶、顶叶、颞叶灰质与白质CNR差异均无统计学意义(P均＞0.05)。观察者间对于CBV图、CBF图及Tmax图的主观评分一致性均较高(Kappa分别为0.623、0.644、0.638),而对MTT图的一致性良好(Kappa=0.560)。针对不同CTP伪彩图的观察者内主观评分差异均无统计学意义(P均＞0.05)。3组伪彩图额叶、顶叶、颞叶灰质、白质的CBV、CBF、MTT及Tmax值差异均无统计学意义(P均＞0.05)。结论 DLIR算法用于"双低"CTP扫描可保证成像质量。 |
| 英文摘要: |
| Objective To observe the value of deep learning image reconstruction (DLIR) algorithm in brain CT perfusion (CTP) using a protocol of 70 kVp and 40 ml contrast agent dose. Methods Totally 105 patients with suspected acute ischemic stroke (AIS) were prospectively enrolled and randomly divided into 3 groups, who underwent standard dose CTP scanning with 80 kVp and 150 mA combined with reconstruction as adaptive statistic iterative reconstruction V (ASIR-V) at 50% level (CN group, n=35), low dose (LD) scanning with 70 kVp and 100 mA combined with DLIR reconstruction at the highest level (DLIR-H) (LD group, n=35), or ultra-low dose (ULD) scanning with 70 kVp and 70 mA combined with DLIR-H reconstruction (ULD group, n=35). Radiation doses were compared among 3 groups. CT values and standard deviations (SDCT) of ROI of gray matter and white matter in the frontal, parietal and temporal lobes were measured. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) between gray and white matter were calculated and compared among groups. Then pseudo-color images of cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT) and time to maximum of the tissue residual function (Tmax) were generated. The imaging quality of CTP pseudo-color images was evaluated, and the compatibility of the subjective scores within every kind of CTP pseudo-color images were assessed using Kappa test. Quantitative perfusion parameters were measured and compared among groups. Results Compared with CN group, both LD and ULD groups demonstrated significantly reduced volume CT dose index (CTDIvol), dose-length product (DLP) and effective dose (ED) (all adjusted P＜0.05). In ULD group, SDCT of white matter in frontal, parietal and temporal lobes were higher than those in CN group, and SDCT of white matter in parietal lobe was also higher than that in LD group (all adjusted P＜0.05). No significant difference of SDCT of gray matter was observed among groups (all P＞0.05). SNR of white matter in parietal and temporal lobes in both LD and ULD groups were lower than those in CN group (all P＜0.05), while no significant difference of SNR of white matter in frontal lobe, nor of gray matter in frontal, parietal and temporal lobes was found among groups (all P＞0.05). CNR of gray and white matter in the frontal, parietal and temporal lobes were not significantly different among groups (all P＞0.05). High consistency of inter-observer subjective scores of CBV maps, CBF maps and Tmax maps (Kappa of 0.623, 0.644 and 0.638, respectively) were noticed, which of MTT maps had moderate consistency (Kappa=0.560). No significant difference of intra-obsever subjective scores of CTP pseudo-color images was found among groups (all P＞0.05). CBV, CBF, MTT and Tmax values of gray and white matter in frontal, parietal and temporal lobes were not significantly different among groups (all P＞0.05). Conclusion DLIR algorithm applicated in low radiation dose and reduced contrast agent dosage might ensure imaging quality. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
