磁共振弥散成像
放松(心理学)
前列腺
信噪比(成像)
体内
前列腺癌
核磁共振
对比度(视觉)
基质(化学分析)
信号(编程语言)
磁共振成像
材料科学
计算机科学
物理
医学
人工智能
光学
放射科
癌症
内科学
生物
生物技术
复合材料
程序设计语言
作者
Zhaohuan Zhang,Shu‐Fu Shih,Kyunghyun Sung,Steven S. Raman,Holden H. Wu
摘要
Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) has shown promises for quantifying prostate microscopic tissue compartments for prostate cancer characterization, but in vivo DR-CSI faces challenges such as lower signal-to-noise ratio (SNR), and signal averages could lead to prolonged scan time. This work investigated the combination of DR-CSI with random matrix theory-based denoising to take advantage of the large number of TE-b values contrast encodings to improve SNR, and enables rapid in vivo prostate microstructure MRI in <6min at 3T.
科研通智能强力驱动
Strongly Powered by AbleSci AI