利用涡流归零凸优化扩散编码和基于随机矩阵理论的去噪技术实现高分辨率前列腺扩散磁共振成像。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Zhaohuan Zhang, Elif Aygun, Shu-Fu Shih, Steven S Raman, Kyunghyun Sung, Holden H Wu
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引用次数: 0

摘要

目的:开发并评估一种将涡流归零凸优化扩散编码(ENCODE)与基于随机矩阵理论(RMT)的去噪相结合的技术,以加速并改善高分辨率前列腺扩散加权磁共振成像(DWI)中的表观信噪比(aSNR)和表观扩散系数(ADC)映射。材料与方法:11 名临床怀疑患有前列腺癌的受试者在 3T 下接受了高分辨率(HR)(平面内:1.0 × 1.0 mm2)ENCODE 和标准分辨率(1.6 × 2.2 mm2)双极 DWI 序列扫描(均重复 7 次进行平均,采集时间 [TA] 为 5 分 50 秒)。HR-ENCODE 使用三次重复进行回顾性分析(加速有效 TA 为 2 分 30 秒)。基于 RMT 的去噪管道利用复杂的 DWI 信号和基于 Marchenko-Pastur 分布的主成分分析来去除多个线圈、b 值、扩散编码方向和重复图像中的加性高斯噪声。就前列腺外周区(PZ)和过渡区(TZ)的 aSNR 而言,将基于 RMT 去噪(HR-ENCODE-RMT)的 HR-ENCODE 与 HR-ENCODE 进行了比较。ADC 的精确度和准确性分别通过重复测量之间的变异系数 (CoV) 和与双极 ADC 参考值相比的平均差 (MD) 进行评估。差异比较采用双侧 Wilcoxon 符号秩检验(P 结果):在 PZ 和 TZ,HR-ENCODE-RMT 产生的中位 aSNR 分别比 HR-ENCODE (b = 800 s/mm2)高 62% 和 56%(PZ 为 -6 mm2/s,TZ 为 90.5 × 10-6 mm2/s 的低 MD):结论:HR-ENCODE-RMT 可缩短采集时间,提高高分辨率前列腺 DWI 的 aSNR,实现前列腺 ADC 的精确测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising.

Objective: To develop and evaluate a technique combining eddy current-nulled convex optimized diffusion encoding (ENCODE) with random matrix theory (RMT)-based denoising to accelerate and improve the apparent signal-to-noise ratio (aSNR) and apparent diffusion coefficient (ADC) mapping in high-resolution prostate diffusion-weighted MRI (DWI). MATERIALS AND METHODS: Eleven subjects with clinical suspicion of prostate cancer were scanned at 3T with high-resolution (HR) (in-plane: 1.0 × 1.0 mm2) ENCODE and standard-resolution (1.6 × 2.2 mm2) bipolar DWI sequences (both had 7 repetitions for averaging, acquisition time [TA] of 5 min 50 s). HR-ENCODE was retrospectively analyzed using three repetitions (accelerated effective TA of 2 min 30 s). The RMT-based denoising pipeline utilized complex DWI signals and Marchenko-Pastur distribution-based principal component analysis to remove additive Gaussian noise in images from multiple coils, b-values, diffusion encoding directions, and repetitions. HR-ENCODE with RMT-based denoising (HR-ENCODE-RMT) was compared with HR-ENCODE in terms of aSNR in prostate peripheral zone (PZ) and transition zone (TZ). Precision and accuracy of ADC were evaluated by the coefficient of variation (CoV) between repeated measurements and mean difference (MD) compared to the bipolar ADC reference, respectively. Differences were compared using two-sided Wilcoxon signed-rank tests (P < 0.05 considered significant).

Results: HR-ENCODE-RMT yielded 62% and 56% higher median aSNR than HR-ENCODE (b = 800 s/mm2) in PZ and TZ, respectively (P < 0.001). HR-ENCODE-RMT achieved 63% and 70% lower ADC-CoV than HR-ENCODE in PZ and TZ, respectively (P < 0.001). HR-ENCODE-RMT ADC and bipolar ADC had low MD of 22.7 × 10-6 mm2/s in PZ and low MD of 90.5 × 10-6 mm2/s in TZ.

Conclusions: HR-ENCODE-RMT can shorten the acquisition time and improve the aSNR of high-resolution prostate DWI and achieve accurate and precise ADC measurements in the prostate.

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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
58
审稿时长
>12 weeks
期刊介绍: MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.
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