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全脑体素内不相干运动(IVIM)成像评估

Evaluation of Whole Brain Intravoxel Incoherent Motion (IVIM) Imaging.

作者信息

Lipiński Kamil, Bogorodzki Piotr

机构信息

Institute of Radioelectronics and Multimedia Technology, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.

出版信息

Diagnostics (Basel). 2024 Mar 20;14(6):653. doi: 10.3390/diagnostics14060653.

Abstract

Intravoxel Incoherent Motion (IVIM) imaging provides non-invasive perfusion measurements, eliminating the need for contrast agents. This work explores the feasibility of IVIM imaging in whole brain perfusion studies, where an isotropic 1 mm voxel is widely accepted as a standard. This study follows the validity of a time-limited, precise, segmentation-ready whole-brain IVIM protocol suitable for clinical reality. To assess the influence of on the estimation of , , , and IVIM parameters, a series of measurements and simulations were performed in MATLAB for the following three estimation techniques: segmented grid search, segmented curve fitting, and one-step curve fitting, utilizing known "ground truth" and noised data. Scanner-specific was estimated based on a healthy subject IVIM MRI study in a 3T scanner. Measurements were conducted for 25.6 × 25.6 × 14.4 cm FOV with a 256 × 256 in-plane resolution and 72 slices, resulting in 1 × 1 × 2 mm voxel size. Simulations were performed for 36 levels around the measured value. For a single voxel grid, the search algorithm mean relative error , f^, D^*, and D^ of at the expected level were 5.00%, 81.91%, 76.31%, and 18.34%, respectively. Analysis has shown that high-resolution IVIM imaging is possible, although there is significant variation in both accuracy and precision, depending on and the chosen estimation method.

摘要

体素内不相干运动(IVIM)成像可提供无创灌注测量,无需使用造影剂。本研究探讨了IVIM成像在全脑灌注研究中的可行性,其中各向同性1毫米体素被广泛视为标准。本研究遵循了一种适用于临床实际的、限时、精确且可用于分割的全脑IVIM方案的有效性。为了评估噪声对IVIM参数D、D*、f和D的估计的影响,在MATLAB中针对以下三种估计技术进行了一系列测量和模拟:分段网格搜索、分段曲线拟合和一步曲线拟合,使用已知的“真实值”和带噪声的数据。基于在3T扫描仪中对一名健康受试者进行的IVIM MRI研究估计了特定扫描仪的噪声。测量在25.6×25.6×14.4厘米的视野内进行,平面分辨率为256×256,有72层,体素大小为1×1×2毫米。围绕测量的噪声值对36个噪声水平进行了模拟。对于单个体素网格,在预期噪声水平下,搜索算法的D、f^、D*和D^的平均相对误差分别为5.00%、81.91%、76.31%和18.34%。分析表明,高分辨率IVIM成像是可行的,尽管根据噪声和所选估计方法,准确性和精密度都存在显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/132b/10968741/2d4debee4af2/diagnostics-14-00653-g001.jpg

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