The beneficial influence of prior knowledge on the quantitation of in vivo magnetic resonance spectroscopy signals
| Autor: | S. Deval, Sophie Cavassila, C. Huegen, Danielle Graveron-Demilly, Van Ormondt D |
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| Rok vydání: | 1999 |
| Předmět: |
Physics
In vivo magnetic resonance spectroscopy medicine.medical_specialty Magnetic Resonance Spectroscopy Brain Signal Processing Computer-Assisted General Medicine Rat brain Standard deviation Rats Adenosine Triphosphate medicine Animals Radiology Nuclear Medicine and imaging Medical physics Noise level Least-Squares Analysis Rats Wistar Biological system Multiplet Mathematics |
| Zdroj: | Investigative radiology. 34(3) |
| ISSN: | 0020-9996 |
| Popis: | RATIONALE AND OBJECTIVES This work concerns quantitation of in vivo magnetic resonance spectroscopy signals and the influence of prior knowledge on the precision of parameter estimates. The authors point out how prior knowledge can be used for experiments. METHODS The Cramer-Rao lower bounds formulae of the noise-related standard deviations on spectral parameters for doublets and triplets were derived. Chemical prior knowledge of the multiplet structures was used. RESULTS The benefit of chemical prior knowledge was estimated for doublet and triplet structures of arbitrary shape. Then, it was used to quantify in vivo 31P time-series signals of rat brain. CONCLUSIONS Analytic expressions of errors on parameter estimates were derived, enabling prediction of the benefit of prior knowledge on quantitation results. These formulae allow us to state, for a given noise level, if the quantitation of strongly overlapping peaks such as adenosine triphosphate multiplets can be performed successfully. |
| Databáze: | OpenAIRE |
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