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postgraduate thesis: A new hierarchical Bayesian approach to low-field magnetic resonance imaging
| Title | A new hierarchical Bayesian approach to low-field magnetic resonance imaging |
|---|---|
| Authors | |
| Advisors | |
| Issue Date | 2001 |
| Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
| Citation | Woo, B. [胡寶琦]. (2001). A new hierarchical Bayesian approach to low-field magnetic resonance imaging. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122691 |
| Degree | Master of Philosophy |
| Subject | Bayesian statistical decision theory. Magnetic resonance imaging. Image analysis - Statistical methods. |
| Dept/Program | Electrical and Electronic Engineering |
| Persistent Identifier | http://hdl.handle.net/10722/33368 |
| HKU Library Item ID | b3122691 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Shen, GG | - |
| dc.contributor.advisor | Yang, ES | - |
| dc.contributor.author | Woo, Bo-kei. | - |
| dc.contributor.author | 胡寶琦. | - |
| dc.date.issued | 2001 | - |
| dc.identifier.citation | Woo, B. [胡寶琦]. (2001). A new hierarchical Bayesian approach to low-field magnetic resonance imaging. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122691 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/33368 | - |
| dc.language | eng | - |
| dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
| dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
| dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.source.uri | http://hub.hku.hk/bib/B31226917 | - |
| dc.subject.lcsh | Bayesian statistical decision theory. | - |
| dc.subject.lcsh | Magnetic resonance imaging. | - |
| dc.subject.lcsh | Image analysis - Statistical methods. | - |
| dc.title | A new hierarchical Bayesian approach to low-field magnetic resonance imaging | - |
| dc.type | PG_Thesis | - |
| dc.identifier.hkul | b3122691 | - |
| dc.description.thesisname | Master of Philosophy | - |
| dc.description.thesislevel | Master | - |
| dc.description.thesisdiscipline | Electrical and Electronic Engineering | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.5353/th_b3122691 | - |
| dc.date.hkucongregation | 2002 | - |
| dc.identifier.mmsid | 991012308559703414 | - |