Utrecht University, Heidelberglaan 8, 3584 CS, Utrecht, The Netherlands.
Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
MAGMA. 2024 Oct;37(5):807-823. doi: 10.1007/s10334-024-01161-y. Epub 2024 May 17.
In a typical MR session, several contrasts are acquired. Due to the sequential nature of the data acquisition process, the patient may experience some discomfort at some point during the session, and start moving. Hence, it is quite common to have MR sessions where some contrasts are well-resolved, while other contrasts exhibit motion artifacts. Instead of repeating the scans that are corrupted by motion, we introduce a reference-guided retrospective motion correction scheme that takes advantage of the motion-free scans, based on a generalized rigid registration routine.
We focus on various existing clinical 3D brain protocols at 1.5 Tesla MRI based on Cartesian sampling. Controlled experiments with three healthy volunteers and three levels of motion are performed.
Radiological inspection confirms that the proposed method consistently ameliorates the corrupted scans. Furthermore, for the set of specific motion tests performed in this study, the quality indexes based on PSNR and SSIM shows only a modest decrease in correction quality as a function of motion complexity.
While the results on controlled experiments are positive, future applications to patient data will ultimately clarify whether the proposed correction scheme satisfies the radiological requirements.
在典型的磁共振(MR)扫描中,会采集多个对比。由于数据采集过程的顺序性质,患者在扫描过程中的某个时刻可能会感到不适并开始移动。因此,在某些 MR 扫描中,一些对比的分辨率很好,而其他对比则会出现运动伪影,这种情况很常见。我们引入了一种基于广义刚体配准的参考引导的回溯式运动校正方案,利用无运动的扫描来避免因运动而导致的扫描结果损坏,而不是重复扫描那些被运动损坏的扫描。
我们专注于基于笛卡尔采样的 1.5T MRI 的各种现有临床 3D 脑协议,并对三名健康志愿者和三个运动水平进行了对照实验。
放射学检查证实,所提出的方法可以持续改善受污染的扫描。此外,对于本研究中进行的特定运动测试集,基于 PSNR 和 SSIM 的质量指标表明,随着运动复杂性的增加,校正质量仅略有下降。
虽然对照实验的结果是积极的,但未来对患者数据的应用最终将明确所提出的校正方案是否满足放射学要求。