Towards assessing and improving the reliability of ultrashort echo time quantitative magnetization transfer (UTE-qMT) MRI of cortical bone: In silico and ex vivo study.

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-08-10 DOI:10.1007/s10334-024-01190-7
Soo Hyun Shin, Dina Moazamian, Qingbo Tang, Saeed Jerban, Yajun Ma, Jiang Du, Eric Y Chang
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Abstract

Objective: To assess and improve the reliability of the ultrashort echo time quantitative magnetization transfer (UTE-qMT) modeling of the cortical bone.

Materials and methods: Simulation-based digital phantoms were created that mimic the UTE-qMT properties of cortical bones. A wide range of SNR from 25 to 200 was simulated by adding different levels of noise to the synthesized MT-weighted images to assess the effect of SNR on UTE-qMT fitting results. Tensor-based denoising algorithm was applied to improve the fitting results. These results from digital phantom studies were validated via ex vivo rat leg bone scans.

Results: The selection of initial points for nonlinear fitting and the number of data points tested for qMT analysis have minimal effect on the fitting result. Magnetization exchange rate measurements are highly dependent on the SNR of raw images, which can be substantially improved with an appropriate denoising algorithm that gives similar fitting results from the raw images with an 8-fold higher SNR.

Discussion: The digital phantom approach enables the assessment of the reliability of bone UTE-qMT fitting by providing the known ground truth. These findings can be utilized for optimizing the data acquisition and analysis pipeline for UTE-qMT imaging of cortical bones.

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评估和提高皮质骨超短回波时间定量磁化传递(UTE-qMT)磁共振成像的可靠性:硅学和体内外研究。
目的评估并提高皮质骨超短回波时间定量磁化传递(UTE-qMT)建模的可靠性:创建基于仿真的数字模型,模拟皮质骨的 UTE-qMT 特性。通过在合成的 MT 加权图像中添加不同程度的噪声,模拟了从 25 到 200 的宽信噪比范围,以评估信噪比对 UTE-qMT 拟合结果的影响。应用基于张量的去噪算法来改善拟合结果。这些数字模型研究结果通过大鼠腿部骨骼的体外扫描进行了验证:结果:非线性拟合初始点的选择和 qMT 分析测试的数据点数量对拟合结果的影响微乎其微。磁化交换率的测量高度依赖于原始图像的信噪比,采用适当的去噪算法可大幅提高信噪比,使原始图像的信噪比提高 8 倍,得到相似的拟合结果:数字模型方法提供了已知的基本事实,可评估骨 UTE-qMT 拟合的可靠性。这些发现可用于优化皮质骨 UTE-qMT 成像的数据采集和分析管道。
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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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