Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.
Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.
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DOI：
10.1088/1361-6560/ac783e
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发表时间：
2022-06-27
影响因子：
3.5
通讯作者：
Fan, Zhaoyang
中科院分区：
文献类型：
--
作者：
Han, Pei;Chen, Junzhou;Xiao, Jiayu;Han, Fei;Hu, Zhehao;Yang, Wensha;Cao, Minsong;Ling, Diane C.;Li, Debiao;Christodoulou, Anthony G.;Fan, Zhaoyang
开发和测试一种新的单投影驱动实时多对比度(SPIDERM)磁共振成像技术的可行性，该技术可以动态生成实时3D图像，具有灵活的对比度加权和低延迟。在SPIDERM中，首先通过稀疏k空间采样与中心k空间线(导航器数据)周期性地交错来执行一次‘prep’扫描，以学习特定于对象的模型，该模型结合了空间子空间以及导航器数据和子空间坐标之间的线性变换。然后，通过重复获取中心k空间线来执行实时扫描，仅以动态确定子空间坐标。利用‘prep’学习的子空间和‘live’坐标，通过计算高效的矩阵乘法在运行中实时生成3D图像。当基于多对比度脉冲序列实施时，SPIDERM还允许数据驱动的图像对比度再生，以根据用户的判断将实时对比度变化的图像转换为对比度固定的图像，同时保持运动状态。为了评估SPIDERM的技术可行性，进行了数字体模和体内实验。从中央k空间线的输入到实时对比度冻结3D图像的生成所经过的时间大约为45ms，允许55ms或更短的等待时间。SPIDERM测量的运动位移与参考图像显示良好的相关性(R2⩾0.983)。通过胰腺轮廓分析(Dice⩾0.84，平均表面距离⩽0.95 mm)，数字体模中与地面真实情况的几何差异是可以接受的。在活体研究中，定量图像质量指标显示参考图像和对比度变化的SPIDREM图像之间具有良好的一致性(平均NMRSE=0.141，PSNR=30.12，SSIM=0.88)。SPIDERM能够以低延迟生成实时多对比度3D图像。一种基于SPIDERM的成像框架有可能作为MR引导的放射治疗的独立组件，它通过“准备”扫描提供自适应模拟，并通过“实时”扫描提供实时图像引导。
To develop and test the feasibility of a novel Single ProjectIon DrivEn Real-time Multi-contrast (SPIDERM) MR imaging technique that can generate real-time 3D images on-the-fly with flexible contrast weightings and a low latency. In SPIDERM, a ‘prep’ scan is first performed, with sparse k-space sampling periodically interleaved with the central k-space line (navigator data), to learn a subject-specific model, incorporating a spatial subspace and a linear transformation between navigator data and subspace coordinates. A ‘live’ scan is then performed by repeatedly acquiring the central k-space line only to dynamically determine subspace coordinates. With the ‘prep’-learned subspace and ‘live’ coordinates, real-time 3D images are generated on-the-fly with computationally efficient matrix multiplication. When implemented based on a multi-contrast pulse sequence, SPIDERM further allows for data-driven image contrast regeneration to convert real-time contrast-varying images into contrast-frozen images at user’s discretion while maintaining motion states. Both digital phantom and in-vivo experiments were performed to evaluate the technical feasibility of SPIDERM. The elapsed time from the input of the central k-space line to the generation of real-time contrast-frozen 3D images was approximately 45 ms, permitting a latency of 55 ms or less. Motion displacement measured from SPIDERM and reference images showed excellent correlation (R2 ⩾ 0.983). Geometric variation from the ground truth in the digital phantom was acceptable as demonstrated by pancreas contour analysis (Dice ⩾ 0.84, mean surface distance ⩽ 0.95 mm). Quantitative image quality metrics showed good consistency between reference images and contrast-varying SPIDREM images in in-vivo studies (mean NMRSE = 0.141, PSNR = 30.12, SSIM = 0.88). SPIDERM is capable of generating real-time multi-contrast 3D images with a low latency. An imaging framework based on SPIDERM has the potential to serve as a standalone package for MR-guided radiation therapy by offering adaptive simulation through a ‘prep’ scan and real-time image guidance through a ‘live’ scan.
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影响因子：
3.5
作者：
Huttinga, Niek R. F.;van den Berg, Cornelis A. T.;Sbrizzi, Alessandro
通讯作者：
Sbrizzi, Alessandro
影响因子：
3.5
作者：
Stemkens, Bjorn;Tijssen, Rob H. N.;van den Berg, Cornelis A. T.
通讯作者：
van den Berg, Cornelis A. T.
DOI：
10.1016/j.ijrobp.2018.09.011
发表时间：
2019-02-01
影响因子：
7
作者：
Fast, Martin;van de Schoot, Agustinus;Sonke, Jan-Jakob
通讯作者：
Sonke, Jan-Jakob
影响因子：
3.3
作者：
Hu Z;Christodoulou AG;Wang N;Shaw JL;Song SS;Maya MM;Ishimori ML;Forbess LJ;Xiao J;Bi X;Han F;Li D;Fan Z
通讯作者：
Fan Z
影响因子：
28.1
作者：
Christodoulou AG;Shaw JL;Nguyen C;Yang Q;Xie Y;Wang N;Li D
通讯作者：
Li D