Application of Anti‐Motion Ultra‐Fast Quantitative MRI in Neurological Disorder Imaging: Insights From Huntington's Disease
Authors: Wu Fei , Luo Haiyang , Wang Xiao , Yang Qinqin , Zhuang Yuchuan , Lin Liangjie , Dong Yanbo , Tulupov Andrey , Zhang Yong , Cai Shuhui , Chen Zhong , Cai Congbo , Bao Jianfeng , Cheng Jingliang 
Published: January 2025

Background

Conventional quantitative MRI (qMRI) scan is time‐consuming and highly sensitive to movements, posing great challenges for quantitative images of individuals with involuntary movements, such as Huntington's disease (HD).

Purpose

To evaluate the potential of our developed ultra‐fast qMRI technique, multiple overlapping‐echo detachment (MOLED), in overcoming involuntary head motion and its capacity to quantitatively assess tissue changes in HD.

Study Type

Prospective.

Phantom/Subjects

A phantom comprising 13 tubes of MnCl2 at varying concentrations, 5 healthy volunteers (male/female: 1/4), 22 HD patients (male/female: 14/8) and 27 healthy controls (male/female: 15/12).

Field Strength/Sequence

3.0 T. MOLED‐T2 sequence, MOLED‐T2* sequence, T2‐weighted spin‐echo sequence, T1‐weighted gradient echo sequence, and T2‐dark‐fluid sequence.

Assessment

T1‐weighted images were reconstructed into high‐resolution images, followed by segmentation to delineate regions of interest (ROIs). Subsequently, the MOLED T2 and T2* maps were aligned with the high‐resolution images, and the ROIs were transformed into the MOLED image space using the transformation matrix and warp field. Finally, T2 and T2* values were extracted from the MOLED relaxation maps.

Statistical Tests

Bland–Altman analysis, independent t test, Mann–Whitney U test, Pearson correlation analysis, and Spearman correlation analysis, P < 0.05 was considered statistically significant.

Results

MOLED‐T2 and MOLED‐T2* sequences demonstrated good accuracy (Meandiff = − 0.20%, SDdiff = 1.05%, and Meandiff = −1.73%, SDdiff = 10.98%, respectively), and good repeatability (average intraclass correlation coefficient: 0.856 and 0.853, respectively). More important, MOLED T2 and T2* maps remained artifact‐free across all HD patients, even in the presence of apparent head motions. Moreover, there were significant differences in T2 and T2* values across multiple ROIs between HD and controls.

Data Conclusion

The ultra‐fast scanning capabilities of MOLED effectively mitigate the impact of head movements, offering a robust solution for quantitative imaging in HD. Moreover, T2 and T2* values derived from MOLED provide powerful capabilities for quantifying tissue changes.

Plain Language Summary

Quantitative MRI scan is time‐consuming and sensitive to movements. Consequently, obtaining quantitative images is challenging for patients with involuntary movements, such as those with Huntington's Disease (HD). In response, a newly developed MOLED technique has been introduced, promising to resist motion through ultra‐fast scan. This technique has demonstrated excellent accuracy and reproducibility and importantly all HD patient's MOLED maps remained artifacts‐free. Additionally, there were significant differences in T2 and T2∗ values across ROIs between HD and controls. The robust resistance of MOLED to motion makes it particularly suitable for quantitative assessments in patients prone to involuntary movements.

Level of Evidence

2

Technical Efficacy

Stage 1