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基于字典匹配的加速 3D T 映射在前列腺成像中的应用。

Accelerated 3D T mapping with dictionary-based matching for prostate imaging.

机构信息

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Siemens Healthcare Limited, Frimley, United Kingdom.

出版信息

Magn Reson Med. 2019 Mar;81(3):1795-1805. doi: 10.1002/mrm.27540. Epub 2018 Oct 28.

DOI:10.1002/mrm.27540
PMID:30368900
Abstract

PURPOSE

To develop a fast and accurate method for 3D T mapping of prostate cancer using undersampled acquisition and dictionary-based fitting.

METHODS

3D high-resolution T -weighted images (0.9 × 0.9 × 3 mm ) were obtained with a multishot T -prepared balanced steady-state free precession (T -prep-bSSFP) acquisition sequence using a 3D variable density undersampled Cartesian trajectory. Each T -weighted image was reconstructed using total variation regularized sensitivity encoding. A flexible simulation framework based on extended phase graphs generated a dictionary of magnetization signals, which was customized to the proposed sequence. The dictionary was matched to the acquired T -weighted images to retrieve quantitative T values, which were then compared to gold-standard spin echo acquisition values using monoexponential fitting. The proposed approach was validated in simulations and a T /T phantom, and feasibility was tested in 8 healthy subjects.

RESULTS

The simulation analysis showed that the proposed T mapping approach is robust to noise and typically observed T variations. T values obtained in the phantom with T prep-bSSFP and the acquisition-specific, dictionary-based matching were highly correlated with the gold-standard spin echo method (r = 0.99). Furthermore, no differences were observed with the accelerated acquisition compared to the fully sampled acquisition (r = 0.99). T values obtained in prostate peripheral zone, central gland, and muscle in healthy subjects (age, 26 ± 6 years) were 97 ± 14, 76 ± 7, and 36 ± 3 ms, respectively.

CONCLUSION

3D quantitative T mapping of the whole prostate can be achieved in 3 minutes.

摘要

目的

开发一种使用欠采样采集和基于字典拟合的快速准确的前列腺癌 3D T 映射方法。

方法

使用多shot T 准备平衡稳态自由进动(T-prep-bSSFP)采集序列,使用 3D 变密度欠采样笛卡尔轨迹获得 3D 高分辨率 T 加权图像(0.9×0.9×3mm)。使用全变分正则化灵敏度编码重建每个 T 加权图像。基于扩展相位图的灵活仿真框架生成了磁化信号字典,该字典针对所提出的序列进行了定制。字典与采集的 T 加权图像匹配以检索定量 T 值,然后使用单指数拟合将其与金标准自旋回波采集值进行比较。该方法在模拟和 T/T 体模中进行了验证,并在 8 名健康受试者中进行了可行性测试。

结果

模拟分析表明,所提出的 T 映射方法对噪声和典型的观察到的 T 变化具有鲁棒性。使用 T-prep-bSSFP 和特定于采集的基于字典匹配获得的体模中的 T 值与金标准自旋回波方法高度相关(r=0.99)。此外,与完全采样采集相比,加速采集没有观察到差异(r=0.99)。健康受试者(年龄,26±6 岁)前列腺外周区、中央腺和肌肉中的 T 值分别为 97±14、76±7 和 36±3ms。

结论

可以在 3 分钟内实现整个前列腺的 3D 定量 T 映射。

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