File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Image reconstruction of variable density undersampled EPI images
| Title | Image reconstruction of variable density undersampled EPI images |
|---|---|
| Authors | |
| Issue Date | 2008 |
| Publisher | International Society of Magnetic Resonance in Medicine |
| Citation | International Society of Magnetic Resonance in Medicine (ISMRM) 16th Scientific Meeting and Exhibition, Toronto, Canada, 3-9 May 2008, p. 3149 How to Cite? |
| Abstract | We applied a mathematical theory, Compressive Sensing (CS), for image reconstruction to EPI images. With the use of CS, it is possible to undersample the
k-space data while preserving image quality. Thus, it allows a more extend coverage of the imaged object per unit time. EPI image qualities resulted from
the CS reconstruction and its feasibility of application in functional MRI are discussed. Results indicated that CS outperforms traditional time reduction
techniques. The statistical mapping in a typical fMRI experiment is comparable to the fully sampled EPI data. |
| Persistent Identifier | http://hdl.handle.net/10722/98877 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tang, MY | en_HK |
| dc.contributor.author | Ng, MC | en_HK |
| dc.contributor.author | Lam, EYM | en_HK |
| dc.date.accessioned | 2010-09-25T18:06:02Z | - |
| dc.date.available | 2010-09-25T18:06:02Z | - |
| dc.date.issued | 2008 | en_HK |
| dc.identifier.citation | International Society of Magnetic Resonance in Medicine (ISMRM) 16th Scientific Meeting and Exhibition, Toronto, Canada, 3-9 May 2008, p. 3149 | en_HK |
| dc.identifier.uri | http://hdl.handle.net/10722/98877 | - |
| dc.description.abstract | We applied a mathematical theory, Compressive Sensing (CS), for image reconstruction to EPI images. With the use of CS, it is possible to undersample the k-space data while preserving image quality. Thus, it allows a more extend coverage of the imaged object per unit time. EPI image qualities resulted from the CS reconstruction and its feasibility of application in functional MRI are discussed. Results indicated that CS outperforms traditional time reduction techniques. The statistical mapping in a typical fMRI experiment is comparable to the fully sampled EPI data. | - |
| dc.language | eng | en_HK |
| dc.publisher | International Society of Magnetic Resonance in Medicine | - |
| dc.relation.ispartof | 2008 Proceedings of International Society of Magnetic Resonance in Medicine | en_HK |
| dc.title | Image reconstruction of variable density undersampled EPI images | en_HK |
| dc.type | Conference_Paper | en_HK |
| dc.identifier.email | Ng, MC: mcng.thomas@gmail.com | en_HK |
| dc.identifier.email | Lam, EYM: elam@eee.hku.hk | en_HK |
| dc.identifier.authority | Lam, EYM=rp00131 | en_HK |
| dc.identifier.hkuros | 143608 | en_HK |
| dc.identifier.spage | 3149 | en_HK |