Dai Yan, Jia Xun, Liu Jiaen, Liao Yen-Peng, Deng Jie
Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland, USA.
Med Phys. 2025 May;52(5):2938-2949. doi: 10.1002/mp.17611. Epub 2025 Jan 9.
Diffusion-weighted (DW) turbo-spin-echo (TSE) imaging offers improved geometric fidelity compared to single-shot echo-planar-imaging (EPI). However, it suffers from low signal-to-noise ratio (SNR) and prolonged acquisition times, thereby restricting its applications in diagnosis and MRI-guided radiotherapy (MRgRT).
To develop a joint k-b space reconstruction algorithm for concurrent reconstruction of DW-TSE images and the apparent diffusion coefficient (ADC) map with enhanced image quality and more accurate quantitative measurements.
The joint k-b reconstruction model was formulated as an optimization problem subject to a self-consistency condition comprising the exponential decay relationship between DW images and the ADC map. The objective function included a data fidelity term confirming an agreement between the reconstructed images and measured k-space data, incorporating the mono-exponential decay relationship between DW images and ADC map as a constraint, along with spatial regularization terms on both amplitude and phase images. The optimization problem was solved using the alternating-direction method of multipliers (ADMM). We evaluated the performance of the joint reconstruction (JR) algorithm for DW-TSE in a phantom study and patient studies on five brain and head/neck cancer patients. Image distortion, accuracy, and repeatability of ADC measurements were assessed and compared with those from conventional Fourier-transformed (FFT)-based reconstruction and magnitude-based ADC fitting methods, as well as with the clinically used DW-EPI technique.
The proposed joint k-b reconstruction method demonstrated improved SNR and enhanced accuracy of ADC measurements in DW-TSE compared to the conventional method. Additionally, JR-DW-TSE with fewer averages at high b-values provided better image quality than the conventional FFT-reconstructed DW-TSE with full averages.
The proposed joint k-b reconstruction method for DW-TSE has the potential to deliver distortion-robust diffusion-weighted MRI (DWI) for clinical applications, which is particularly crucial for MRgRT.
与单次激发回波平面成像(EPI)相比,扩散加权(DW)涡轮自旋回波(TSE)成像具有更高的几何保真度。然而,它存在信噪比(SNR)低和采集时间长的问题,从而限制了其在诊断和MRI引导放射治疗(MRgRT)中的应用。
开发一种联合k空间重建算法,用于同时重建DW-TSE图像和表观扩散系数(ADC)图,以提高图像质量并进行更准确的定量测量。
联合k-b重建模型被表述为一个受自洽条件约束的优化问题,该自洽条件包括DW图像与ADC图之间的指数衰减关系。目标函数包括一个数据保真项,用于确认重建图像与测量的k空间数据之间的一致性,将DW图像与ADC图之间的单指数衰减关系作为约束条件纳入,同时还包括幅度和相位图像上的空间正则化项。使用乘子交替方向法(ADMM)解决该优化问题。我们在体模研究以及对五名脑癌和头颈部癌患者的患者研究中评估了DW-TSE联合重建(JR)算法的性能。评估了ADC测量的图像失真、准确性和可重复性,并与基于传统傅里叶变换(FFT)的重建和基于幅度的ADC拟合方法以及临床使用的DW-EPI技术进行了比较。
与传统方法相比,所提出的联合k-b重建方法在DW-TSE中表现出更高的SNR和更高的ADC测量准确性。此外,在高b值下平均次数较少的JR-DW-TSE比全平均的传统FFT重建DW-TSE提供了更好的图像质量。
所提出的DW-TSE联合k-b重建方法有潜力为临床应用提供抗失真的扩散加权MRI(DWI),这对MRgRT尤为关键。