Zhou Yihang, Pandit Prachi, Pedoia Valentina, Rivoire Julien, Wang Yanhua, Liang Dong, Li Xiaojuan, Ying Leslie
Department of Biomedical Engineering, Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, USA.
Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Magn Reson Med. 2016 Apr;75(4):1617-29. doi: 10.1002/mrm.25773. Epub 2015 May 22.
To accelerate T1ρ quantification in cartilage imaging using combined compressed sensing with iterative locally adaptive support detection and JSENSE.
To reconstruct T1ρ images from accelerated acquisition at different time of spin-lock (TSLs), we propose an approach to combine an advanced compressed sensing (CS) based reconstruction technique, LAISD (locally adaptive iterative support detection), and an advanced parallel imaging technique, JSENSE. Specifically, the reconstruction process alternates iteratively among local support detection in the domain of principal component analysis, compressed sensing reconstruction of the image sequence, and sensitivity estimation with JSENSE. T1ρ quantification results from accelerated scans using the proposed method are evaluated using in vivo knee cartilage data from bilateral scans of three healthy volunteers.
T1ρ maps obtained from accelerated scans (acceleration factors of 3 and 3.5) using the proposed method showed results comparable to conventional full scans. The T1ρ errors in all compartments are below 1%, which is well below the in vivo reproducibility of cartilage T1ρ reported from previous studies.
The proposed method can significantly accelerate the acquisition process of T1ρ quantification on human cartilage imaging without sacrificing accuracy, which will greatly facilitate the clinical translation of quantitative cartilage MRI.
通过结合压缩感知与迭代局部自适应支撑检测及JSENSE技术，加速软骨成像中的T1ρ定量分析。
为从自旋锁定（TSL）不同时间的加速采集数据中重建T1ρ图像，我们提出一种方法，将基于先进压缩感知（CS）的重建技术LAISD（局部自适应迭代支撑检测）与先进的并行成像技术JSENSE相结合。具体而言，重建过程在主成分分析域中的局部支撑检测、图像序列的压缩感知重建以及JSENSE灵敏度估计之间交替进行迭代。使用所提出方法对加速扫描得到的T1ρ定量结果，采用来自三名健康志愿者双侧扫描的体内膝关节软骨数据进行评估。
使用所提出方法从加速扫描（加速因子为3和3.5）获得的T1ρ图谱显示结果与传统全扫描相当。所有区域的T1ρ误差均低于1%，远低于先前研究报道的软骨T1ρ体内再现性。
所提出的方法能够在不牺牲准确性的情况下，显著加速人体软骨成像中T1ρ定量分析的采集过程，这将极大地促进定量软骨MRI的临床转化。
