Junghyeob Kim1, Yejin Jo2, Jae Eun Song1, Hyunjung Kim2, Deogyoung Kim2, and Dong-Hyun Kim1
1Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea, 2Department and Research Institute of Rehabilitation Medicin, Yonsei University College of Medicine, Seoul, Republic of Korea
Synopsis
Stroke is a worldwide disease and requires quantitative evaluation
for better patient management. In evaluating rehabilitation of stroke patients,
quantitative analysis was performed using the conventional DTI-FA and multi
echo GRE Myelin Water Fraction mapping technique
Introduction
Stroke is the leading cause of serious disability worldwide.
Disorders in patients with
degradation of limb function require rehabilitation therapy to restore the
function [1]. While performance based impairment index such as FMA (Fugl-Meyer
Assessment) score is typically used for assessment, imaging biomarkers (such as
DTI) can provide accurate quantitative evaluation. In this study, we
quantitatively analyzed brain plasticity during rehabilitation using Myelin Water Fraction(MWF) through mGRE imaging [2-3]. Method
[Patient characteristics]
Patients with
hemiplegic patients who had subacute stroke (within 6 months after onset) were
given occupational and robotic treatments once a day for 30 minutes, 5 days a week
for 4 weeks.(FMA>7, 3 men 7 women, age: 62.2 ± 16.4years). Rehabilitation was
performed daily for 4 weeks with activities using the hands, shoulders and
elbow joints with the aid of robots and physical therapists.
[Data acquisition]
Imaging was performed pre and post treatment. Post-treatment scan
was taken 4 weeks after pre scan. Stroke patients with intact CST (corticospinal
tract) were selected for the study.
In-vivo data were acquired on a 3 Tesla MRI scanner (SIEMENS MAGNETOM
Prisma_fit) using a 20-channel head coil for signal reception. 3D mGRE data with
navigator echo and flow compensation was acquired for MWF mapping. DTI were
also acquired. The imaging parameters were as follows : TR = 46ms, first TE =
1.7 ms, echo spacing = 1.1 ms, number of echoes = 30, flip angle = 20°, field
of view = 256 × 256 × 144 mm3, spatial resolution = 2 × 2 × 2 mm3.
DTI parameters were as follows : TR = 3300ms, TE = 55ms, field of view = 244 ×
244 × 152 mm3, spatial resolution = 1.1 × 1.1 × 2 mm3. T1
MPRAGE parameters were as follows : TR = 2200ms, field of view = 256 × 256 ×
144 mm3, spatial resolution = 1 × 1 × 1 mm3.
[Data Processing]
Registration of the DTI and MWF were performed
prior to analysis using a reference T1 MPRAGE image that was acquired. In this
study, only the CST tract was analyzed. The CST track was identified using anatomic
fiber tracking and FA values were calculated. MWF was calculated using a 3 pool
complex-valued model based fitting approach [4]. The p-value of the Student's
t-test was used to verify the relationship and the amount of change between pre
and post by ROI. ROI analysis was divided into the affected and unaffected CST
regions. Results
Figure 1 shows the pre-post FA and MWF values for each ROI. By
default, the value of affected area is smaller in the FA and MWF than the value
of unaffected area. In FA, the affected region had a statistically significant
change (p-value<0.05) In MWF, both the affected area and unaffected area had
a statistically significant change.
Figure 2 shows the pre-post FA and MWF changes in ratio ((post-pre)/pre)
at each ROI. In FA and MWF, the affected area had more change than the unaffected
area. While the affected ROI had more change in both FA and MWF, the MWF change
was consistently larger compared to FA changes.
Figure 3 shows a visual comparison of the pre-post MWF values in
CST from several subjects. The patient's affected area is right(right side on
the figure). Post treatment scan shows overall increase in MWF..Discussion
The value of unaffected area generally corresponds to the value of CST
because the amount of affected area is less than the amount of unaffected area.
We only recruited patients with visible CST on DTI, which indicates the degree
of directionality of axon, was not significantly different between pre and
post. In this case, the MWF can provide a clear difference. The reason why STD
is high in MWF is because the damaged part and normal part is mixed.Conclusion
The purpose of this study was to analyze the pre-post FA and MWF
values and changes in each ROI after rehabilitation. When comparing the values
of cases with mean (fig1), only affected area was significant in FA and all
significant in MWF. When comparing changes in cases (fig2), only affected area
was significant in FA and all significant in MWF. The change in MWF is larger
and meaningful than the change in FA. This suggests that MWF through mGRE can potentially
be applied as a reliable biomarker for quantitative evaluation before and after
rehabilitation of stroke patients.Acknowledgements
No acknowledgement found.References
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