Ya-Ling Lin1,2, Tsyh-Jyi Hsieh3, and Ming-Chung Chou1
1Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan, 2Department of Radiation Oncology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan, 3Department of Radiology, Chi-Mei Medical Center, Tainan, Taiwan
Synopsis
Diffusion tensor imaging (DTI) was demonstrated
to successfully trace three-dimensional trajectory of neuronal fiber tracts in vivo and has been widely utilized in
many clinical applications. However, there are two major disadvantages
when using conventional single-shot DTI, including the problems of intra-voxel fiber crossings and
susceptibility distortions. Therefore, the purpose of this study was to utilize
PROPELLER echo-planar DTI technique and probabilistic tractography to construct
brain connectivity networks. The results showed that susceptibility distortions significantly deteriorated the results of brain connectivity networks and might erroneously enhance the network difference in clinical applications.Background and purpose
Diffusion tensor imaging (DTI) was demonstrated
to successfully trace three-dimensional trajectory of neuronal fiber tracts in vivo and has been widely utilized in
many clinical applications. Recently, many studies further utilized fiber
tractography to construct brain structural connectivity networks that were
demonstrated capable of detecting the disruptions of structural networks caused
by different disorders
1-4. However, most structural connectivity studies were conducted using conventional single-shot DTI. As conventional DTI has problems of intra-voxel fiber crossings and
susceptibility distortions and may result in false fiber tracts and detrimentally affect the analysis of connectivity networks. Therefore, the purpose of this study was to utilize
PROPELLER echo-planar DTI technique with probabilistic tractography to construct
brain connectivity networks and statistically compare the results of connectivity networks between male and female subjects.
Materials and Methods
Forty healthy subjects (Male/Female=20/20, age=18-22 y/o) who had no history of neurological disease participated in this
study. All imaging data were acquired from a 3.0T MR scanner (General Electric,
Milwaukee, WI, USA). After acquiring high-resolution three-dimensional T1-weighted
images, this study performed both single-shot and PROPELLER DTI acquisitions by
applying diffusion-sensitizing gradient in 30 non-collinear directions with
b-value=1000 s/mm
2 plus one b0 image, and other imaging parameters were kept identical. The scan time for single-shot and PROPELLER DTI was
5 min 29 sec and 11 min 12 sec respectively. Moreover, distortion-free turbo-spin-echo T2-weighted images were
also acquired for comparisons of susceptibility distortions between single-shot
and PROPELLER DTI. All imaging data were transferred to a
standalone workstation running FSL (FMRIB Software Library, Oxford) and MATALB (Mathworks, Natick, MA, USA) programs. After the pre-processing of DTI datasets, the BET (Brain
Extraction Tool, FSL) was then performed on both single-shot and PROPELLER DTI
datasets to remove non-brain background signals, and the DTIFTI tool was used
to calculate the fractional anisotropy and mean diffusivity maps. For connectivity analysis, a Bayesian estimation of crossing
fibers (BEDPOSTX, FMRIB, Oxford, UK) was performed on both datasets to estimate
multiple fiber orientations of each voxel in the brain. Afterwards, the
template T1 images, which define the 116 AAL (Automatic Anatomical Labeling) cortical
regions, were spatially transformed to match the individual T1
images using linear affine and non-linear demon registrations, from which the
entire cerebral cortex of individual brain was divided into 116 AAL cortical
regions and were used as seeding regions to trace neuronal fibers using
a probabilistic tractography (PROBTRACKX, FMRIB, Oxford, UK) with 5000 seeds per
voxel. Finally, a connectivity matrix that contains the information of
normalized number of fiber tracts between 116 cortical regions was obtained. A
two-sample t test was performed to
show the difference of connectome between single-shot and PROPELLER DTI and
between male and female subjects in single-shot and PROPELLER DTI. The
difference was considered significant as P
< 0.005.
Results
The statistical comparisons showed that the structural connectivity between most cortical regions was
significantly higher in PROPELLER DTI than single-shot DTI; however, PROPELLER DTI exhibited
significantly lower structural connectivity than single-shot DTI in regions
near frontal lobe and brain stem areas, as shown in Fig. 1. The comparisons of
structural connectivity between male and female subjects further revealed that male
subjects had significantly higher intra-hemispheric connectivity than female,
and female subjects exhibited significantly higher inter-hemispheric
connectivity than male subjects in both single-shot and PROPELLER DTI,
as shown in Figs. 2 and 3, respectively, consistent with the previous findings
3. Notably, the conventional
single-shot DTI exhibited more sex difference of structural connectivity in
regions near the frontal lobe and brain stem areas than that of PROPELLER DTI. As there were susceptibility distortions in frontal and brain stem areas in single-shot DTI, the sex difference revealed in those regions might be erroneously enhanced by
susceptibility distortions.
Conclusion
Although PROPELLER echo-planar DTI took longer scan time than single-shot DTI, it was helpful to reduce
susceptibility distortions and was more suitable for analyzing structural connectivity
networks than those using single-shot DTI technique in regions with air-tissue
and bone-tissue interfaces.
Acknowledgements
This study was supported in part by grant MOST-104-2314-B-037-037-MY2 from Ministry of Science and Technology of Taiwan.References
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