uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
• apa
• ieee
• modern-language-association
• vancouver
• Other style
More styles
Language
• de-DE
• en-GB
• en-US
• fi-FI
• nn-NO
• nn-NB
• sv-SE
• Other locale
More languages
Output format
• html
• text
• asciidoc
• rtf
Frequency-selective SVD-based magnetic resonance spectroscopy with prior knowledge
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
2004 (English)In: Conference Record of the 38th Asilomar Conference on Signals, Systems, and Computers, 2004Conference paper, Published paper (Refereed)
##### Abstract [en]

We present a novel method for exploiting prior knowledge in magnetic resonance spectroscopy (MRS) based on the frequency-selective SELF-SVD method which was introduced in \cite{Sandgren}. More specifically, we use the common assumption that the magnetic resonance (MR) data is modeled by the superposition of a given number of exponentially damped sinusoids. As an application we consider the ATP (\textit{a}denosine \textit{t}ri\textit{p}hosphate) complex of an MRS signal and we use the fact that the dampings $\alpha_k$ and frequencies $\omega_k$ of the peaks of the ATP complex satisfy the following conditions: $\alpha_k = \alpha$ and $\omega_k = \omega + k\Delta$, where $\alpha$ and $\omega$ are unknown and $\Delta$ is known. Numerical examples mimicking $^{31}$P MRS data are included. The results show the superiority especially in speed of this new approach, which we will refer to as the FREEK (\textit{fre}quency-selective \textit{e}stimation with prior \textit{k}nowledge) method.

2004.
##### Identifiers
OAI: oai:DiVA.org:uu-70359DiVA, id: diva2:98270
Available from: 2005-05-04 Created: 2005-05-04

#### Open Access in DiVA

No full text in DiVA

#### Authority records BETA

Sandgren, NiclasStoica, PeterSelén, Yngve

#### Search in DiVA

##### By author/editor
Sandgren, NiclasStoica, PeterSelén, Yngve
##### By organisation
Department of Information TechnologyAutomatic control

#### Search outside of DiVA

GoogleGoogle Scholar
urn-nbn

#### Altmetric score

urn-nbn
Total: 290 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
• apa
• ieee
• modern-language-association
• vancouver
• Other style
More styles
Language
• de-DE
• en-GB
• en-US
• fi-FI
• nn-NO
• nn-NB
• sv-SE
• Other locale
More languages
Output format
• html
• text
• asciidoc
• rtf