通过压缩感知加速与低秩重构相结合改善了磷MRSI采集。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-12-27 DOI:10.1007/s10334-024-01218-y
Julien Songeon, François Lazeyras, Thomas Agius, Oscar Dabrowski, Raphael Ruttimann, Christian Toso, Alban Longchamp, Antoine Klauser, Sebastien Courvoisier
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引用次数: 0

摘要

目的:磷-31磁共振波谱成像(31P-MRSI)是一种评估体内细胞高能代谢的无创工具。然而,它的采集灵敏度低,需要大的体素尺寸或多次平均才能达到可接受的信噪比(SNR),导致扫描时间长。材料和方法:为了克服这些限制,我们提出了一种FID-MRSI序列的获取和重建方案。具体而言,我们将压缩感知(CS)和低秩(LR)与总广义变差(TGV)正则化结合在CS-LR框架中。此外,我们使用了一种新颖的k空间欠采样方法,该方法对每个平均值使用不同的伪随机模式。为了评估该方法的性能,我们对健康志愿者的大脑和离体灌注肾脏进行了回顾性分析。结果:该方法有效地将信噪比提高了2 ~ 3倍,即使在3倍的加速度下也能保持频谱和空间质量。我们能够恢复解剖信息的信号衰减,并且在保持代谢物峰线宽的同时获得信噪比的提高。结论:我们提出了一种新的结合CS-LR加速和重建方法,用于FID-MRSI序列,利用独特的k空间欠采样方法。我们提出的方法在提高信噪比方面显示出有希望的结果,使其适用于减少采集时间。
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Improved phosphorus MRSI acquisition through compressed sensing acceleration combined with low-rank reconstruction.

Objectives: Phosphorus-31 magnetic resonance spectroscopic imaging (31P-MRSI) is a non-invasive tool for assessing cellular high-energy metabolism in-vivo. However, its acquisition suffers from a low sensitivity, which necessitates large voxel sizes or multiple averages to achieve an acceptable signal-to-noise ratio (SNR), resulting in long scan times.

Materials and methods: To overcome these limitations, we propose an acquisition and reconstruction scheme for FID-MRSI sequences. Specifically, we employed Compressed Sensing (CS) and Low-Rank (LR) with Total Generalized Variation (TGV) regularization in a combined CS-LR framework. Additionally, we used a novel approach to k-space undersampling that utilizes distinct pseudo-random patterns for each average. To evaluate the proposed method's performance, we performed a retrospective analysis on healthy volunteers' brains and ex-vivo perfused kidneys.

Results: The presented method effectively improves the SNR two-to-threefold while preserving spectral and spatial quality even with threefold acceleration. We were able to recover signal attenuation of anatomical information, and the SNR improvement was obtained while maintaining the metabolites peaks linewidth.

Conclusions: We presented a novel combined CS-LR acceleration and reconstruction method for FID-MRSI sequences, utilizing a unique approach to k-space undersampling. Our proposed method has demonstrated promising results in enhancing the SNR making it applicable for reducing acquisition time.

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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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