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| Field |
Value |
| Title: | Simultaneous multi-slice inverse imaging of the human brain |
| Authors: | 蔡尚岳
Hsu, Yi-Cheng
Chu, Ying-Hua
Tsai, Shang-Yueh
Kuo, Wen-Jui
Chang, Chun-Yuan |
| Contributors: | 應物所 |
| Date: | 2017-12 |
| Issue Date: | 2018-04-18 14:45:31 (UTC+8) |
| Abstract: | (BOLD) signals with high sensitivity and specificity. Here we propose a novel method: simultaneous multi-slice inverse imaging (SMS-InI) — a combination of simultaneous multi-slice excitation, simultaneous echo refocusing (SER), blipped controlled aliasing in parallel imaging echo-planar imaging (EPI), and regularized image reconstruction. Using a 32-channel head coil array on a 3 T scanner, SMS-InI achieves nominal isotropic 5-mm spatial resolution and 10 Hz sampling rate at the whole-brain level. Compared with traditional inverse imaging, we found that SMS-InI has higher spatial resolution with lower signal leakage and higher time-domain signal-to-noise ratio with the optimized regularization parameter in the reconstruction. SMS-InI achieved higher effective resolution and higher detection power in detecting visual cortex activity than InI. SMS-InI also detected subcortical fMRI signals with the similar sensitivity and localization accuracy like EPI. The spatiotemporal resolution of SMS-InI was used to reveal that presenting visual stimuli with 0.2 s latency between left and right visual hemifield led to 0.2 s relative hemodynamic response latency between the left and right visual cortices. Together, these results indicate that SMS-InI is a useful tool in measuring cortical and subcortical hemodynamic responses with high spatiotemporal resolution. |
| Relation: | Scientific Reports, 2017; 7: 17019. |
| Data Type: | article |
| DOI: | https://dx.doi.org/10.1038%2Fs41598-017-16976-0 |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 應物所 | zh_Tw |
| dc.creator (Authors) | 蔡尚岳 | zh_TW |
| dc.creator (Authors) | Hsu, Yi-Cheng | en_US |
| dc.creator (Authors) | Chu, Ying-Hua | en_US |
| dc.creator (Authors) | Tsai, Shang-Yueh | en_US |
| dc.creator (Authors) | Kuo, Wen-Jui | en_US |
| dc.creator (Authors) | Chang, Chun-Yuan | en_US |
| dc.date (Date) | 2017-12 | |
| dc.date.accessioned | 2018-04-18 14:45:31 (UTC+8) | - |
| dc.date.available | 2018-04-18 14:45:31 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2018-04-18 14:45:31 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/116900 | - |
| dc.description.abstract (Abstract) | (BOLD) signals with high sensitivity and specificity. Here we propose a novel method: simultaneous multi-slice inverse imaging (SMS-InI) — a combination of simultaneous multi-slice excitation, simultaneous echo refocusing (SER), blipped controlled aliasing in parallel imaging echo-planar imaging (EPI), and regularized image reconstruction. Using a 32-channel head coil array on a 3 T scanner, SMS-InI achieves nominal isotropic 5-mm spatial resolution and 10 Hz sampling rate at the whole-brain level. Compared with traditional inverse imaging, we found that SMS-InI has higher spatial resolution with lower signal leakage and higher time-domain signal-to-noise ratio with the optimized regularization parameter in the reconstruction. SMS-InI achieved higher effective resolution and higher detection power in detecting visual cortex activity than InI. SMS-InI also detected subcortical fMRI signals with the similar sensitivity and localization accuracy like EPI. The spatiotemporal resolution of SMS-InI was used to reveal that presenting visual stimuli with 0.2 s latency between left and right visual hemifield led to 0.2 s relative hemodynamic response latency between the left and right visual cortices. Together, these results indicate that SMS-InI is a useful tool in measuring cortical and subcortical hemodynamic responses with high spatiotemporal resolution. | en_US |
| dc.format.extent | 3411915 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (Relation) | Scientific Reports, 2017; 7: 17019. | |
| dc.title (Title) | Simultaneous multi-slice inverse imaging of the human brain | en_US |
| dc.type (Data Type) | article | |
| dc.identifier.doi (DOI) | 10.1038/s41598-017-16976-0 | |
| dc.doi.uri | https://dx.doi.org/10.1038%2Fs41598-017-16976-0 | |
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