IADI, INSERM U1254 and Université de Lorraine, Nancy, France.
School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Magn Reson Med. 2019 Apr;81(4):2588-2599. doi: 10.1002/mrm.27591. Epub 2018 Dec 10.
To quantitatively evaluate a superresolution technique for 3D, one-millimeter isotropic diffusion-weighted imaging (DWI) of the whole breasts.
Isotropic 3D DWI datasets are obtained using a combination of (i) a readout-segmented diffusion-weighted-echo-planar imaging (DW-EPI) sequence (rs-EPI), providing high in-plane resolution, and (ii) a superresolution (SR) strategy, which consists of acquiring 3 datasets with thick slices (3 mm) and 1-mm shifts in the slice direction, and combining them into a 1 × 1 × 1-mm dataset using a dedicated reconstruction. Two SR reconstruction schemes were investigated, based on different regularization schemes: conventional Tikhonov or Beltrami (an edge-preserving constraint). The proposed SR strategy was compared to native 1 × 1 × 1-mm acquisitions (i.e. with 1-mm slice thickness) in 8 healthy subjects, in terms of signal-to-noise ratio (SNR) efficiency, using a theoretical framework, Monte Carlo simulations and region-of-interest (ROI) measurements, and image sharpness metrics. Apparent diffusion coefficient (ADC) values in normal breast tissue were also compared.
The SR images resulted in an SNR gain above 3 compared to native 1 × 1 × 1-mm using the same acquisition duration (acquisition gain 3 and reconstruction gain >1). Beltrami-SR provided the best results in terms of SNR and image sharpness. The ADC values in normal breast measured from Beltrami-SR were preserved compared to low-resolution images (1.91 versus 1.97 ×10 mm /s, P = .1).
A combination of rs-EPI and SR allows 3D, 1-mm isotropic breast DWI data to be obtained with better SNR than a native 1-mm isotropic acquisition. The proposed DWI protocol might be of interest for breast cancer monitoring/screening without injection.
定量评估一种用于整个乳房 1 毫米各向同性扩散加权成像(DWI)的超分辨率技术。
使用(i)读出分段扩散加权回波平面成像(DW-EPI)序列(rs-EPI)的组合获得各向同性 3D DWI 数据集,该方法提供高的平面内分辨率,和(ii)超分辨率(SR)策略,该策略包括获取 3 个具有厚切片(3 毫米)和在切片方向上 1 毫米移位的数据集,并使用专用重建将它们组合成 1×1×1 毫米数据集。研究了两种基于不同正则化方案的 SR 重建方案:传统的 Tikhonov 或 Beltrami(边缘保持约束)。在 8 名健康受试者中,使用理论框架、蒙特卡罗模拟和感兴趣区(ROI)测量以及图像锐度指标,从 SNR 效率方面将所提出的 SR 策略与原始的 1×1×1 毫米采集(即具有 1 毫米切片厚度)进行比较,并比较正常乳房组织中的表观扩散系数(ADC)值。
与使用相同采集时间的原始 1×1×1 毫米相比,SR 图像导致 SNR 增益超过 3(采集增益 3 和重建增益>1)。在 SNR 和图像锐度方面,Beltrami-SR 提供了最佳的结果。与低分辨率图像相比,从 Beltrami-SR 测量的正常乳房 ADC 值得到保留(1.91 与 1.97×10 mm/s,P=0.1)。
rs-EPI 和 SR 的组合允许获得比原始 1 毫米各向同性采集具有更好 SNR 的 3D 1 毫米各向同性乳房 DWI 数据。该 DWI 协议可能对无注射的乳腺癌监测/筛查感兴趣。