利用旋转笛卡尔K空间和低秩重建的阿魏酸钾增强型5D多相稳态成像治疗小儿先天性心脏病

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-14 DOI:10.1002/jmri.29565
Zixuan Zhao, Hsu-Lei Lee, Dan Ruan, Zhengyang Ming, Fei Han, Arash Bedayat, Anthony G Christodoulou, J Paul Finn, Kim-Lien Nguyen
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引用次数: 0

摘要

背景:旋转直角坐标k空间多相稳态成像对比(ROCK-MUSIC)脉冲序列能够在不依赖呼吸机门控信号的情况下获取小儿先天性心脏病(CHD)的全心、心脏相位分辨图像。目的:通过使用低秩张量(LRT)重建来分辨心肺相位,从而增强ROCK-MUSIC,并通过开发图像质量评分模型来实现半自动超参数调整:研究类型:回顾性研究:30名冠心病患者(45%为女性,年龄在2天至6.7岁之间):3-T、四维(4D)破坏梯度回波序列:基于特征向量的自洽平行成像重建(ESPIRiT)作为 LRT 重建的参照对比。根据心腔定义、管腔信号均匀性、血管边缘清晰度和运动伪影,对心脏和血管图像质量进行4点李克特评分。对 16 名患者的射血分数和心室容积进行了评估。计算信噪比(SNR)、对比噪比(CNR)和边缘锐利度:类内相关系数、Wilcoxon 符号秩检验、Bland-Altman。P 值结果:与 ESPIRiT 相比,LRT 图像的心脏(2.81 ± 0.57 vs. 3.19 ± 0.54)和血管(2.81 ± 0.60 vs. 3.36 ± 0.53)图像质量得分明显更高。通过半自动超参数调整进行的图像质量评分显示,图像质量、信噪比和室间隔锐利度之间存在很强的相关性(R2 = 0.748)。通过 ESPIRiT 和 LRT 得出的射血分数和容积比较显示,两者之间没有明显的系统性差异(P = 0.32):数据结论:低阶重建与 ROCK-MUSIC 采集的整合可能是可行的,半自动超参数调整可有效生成心肺分辨图像。
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Ferumoxytol-Enhanced 5D Multiphase Steady-State Imaging Using Rotating Cartesian K-Space With Low-Rank Reconstruction for Pediatric Congenital Heart Disease.

Background: The rotating Cartesian k-space multiphase steady-state imaging with contrast (ROCK-MUSIC) pulse sequence enables acquisition of whole-heart, cardiac phase-resolved images in pediatric congenital heart disease (CHD) without reliance on the ventilator gating signal. Multidimensional reconstruction with low rank tensor (LRT) has shown promise for resolving complex cardiorespiratory motion.

Purpose: To enhance ROCK-MUSIC by resolving cardiorespiratory phases using LRT reconstruction and to enable semi-automatic hyperparameter tuning by developing an image quality scoring model.

Study type: Retrospective.

Population: Thirty patients (45% female, age 2 days to 6.7 years) with CHD.

Field strength/sequence: 3-T, four-dimensional (4D) spoiled gradient recalled echo sequence.

Assessment: Eigenvector-based iTerative Self-consistent Parallel Imaging Reconstruction (ESPIRiT) served as the reference comparison for LRT reconstruction. A 4-point Likert scale was used for cardiac and vascular image quality scoring based on cardiac chamber definition, lumen signal uniformity, vascular margin clarity, and motion artifact. Ejection fraction and ventricular volumes were assessed in 16 patients. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and edge sharpness were computed.

Statistical tests: Intraclass correlation coefficients, Wilcoxon signed-rank test, Bland-Altman. A P-value <0.05 was considered statistically significant.

Results: Relative to ESPIRiT, LRT images received significantly higher cardiac (2.81 ± 0.57 vs. 3.19 ± 0.54) and vascular (2.81 ± 0.60 vs. 3.36 ± 0.53) image quality scores. Image quality scoring with semi-automated hyperparameter tuning showed strong correlations (R2 = 0.748) among image quality, SNR, and septal sharpness. Comparison of ejection fraction and volumetry derived from ESPIRiT, and LRT showed no significant systematic difference (P = 0.32).

Data conclusion: Integration of low-rank reconstruction with ROCK-MUSIC acquisition may be feasible, and semi-automatic hyperparameter tuning could be effective for generating cardiorespiratory resolved images.

Level of evidence: 2 TECHNICAL EFFICACY: Stage 1.

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