Book contents
- Frontmatter
- Contents
- Contributors
- Case studies
- Preface to the second edition
- Preface to the first edition
- Abbreviations
- Introduction
- Section 1 Physiological MR techniques
- Chapter 1 Fundamentals of MR spectroscopy
- Chapter 2 Quantification and analysis in MR spectroscopy
- Chapter 3 Artifacts and pitfalls in MR spectroscopy
- Chapter 4 Fundamentals of diffusion MR imaging
- Chapter 5 Human white matter anatomical information revealed by diffusion tensor imaging and fiber tracking
- Chapter 6 Artifacts and pitfalls in diffusion MR imaging
- Chapter 7 Cerebral perfusion imaging by exogenous contrast agents
- Chapter 8 Detection of regional blood flow using arterial spin labeling
- Chapter 9 Imaging perfusion and blood–brain barrier permeability using T1-weighted dynamic contrast-enhanced MR imaging
- Chapter 10 Susceptibility-weighted imaging
- Chapter 11 Artifacts and pitfalls in perfusion MR imaging
- Chapter 12 Methodologies, practicalities and pitfalls in functional MR imaging
- Section 2 Cerebrovascular disease
- Section 3 Adult neoplasia
- Section 4 Infection, inflammation and demyelination
- Section 5 Seizure disorders
- Section 6 Psychiatric and neurodegenerative diseases
- Section 7 Trauma
- Section 8 Pediatrics
- Section 9 The spine
- Index
- References
Chapter 2 - Quantification and analysis in MR spectroscopy
from Section 1 - Physiological MR techniques
Published online by Cambridge University Press: 05 March 2013
- Frontmatter
- Contents
- Contributors
- Case studies
- Preface to the second edition
- Preface to the first edition
- Abbreviations
- Introduction
- Section 1 Physiological MR techniques
- Chapter 1 Fundamentals of MR spectroscopy
- Chapter 2 Quantification and analysis in MR spectroscopy
- Chapter 3 Artifacts and pitfalls in MR spectroscopy
- Chapter 4 Fundamentals of diffusion MR imaging
- Chapter 5 Human white matter anatomical information revealed by diffusion tensor imaging and fiber tracking
- Chapter 6 Artifacts and pitfalls in diffusion MR imaging
- Chapter 7 Cerebral perfusion imaging by exogenous contrast agents
- Chapter 8 Detection of regional blood flow using arterial spin labeling
- Chapter 9 Imaging perfusion and blood–brain barrier permeability using T1-weighted dynamic contrast-enhanced MR imaging
- Chapter 10 Susceptibility-weighted imaging
- Chapter 11 Artifacts and pitfalls in perfusion MR imaging
- Chapter 12 Methodologies, practicalities and pitfalls in functional MR imaging
- Section 2 Cerebrovascular disease
- Section 3 Adult neoplasia
- Section 4 Infection, inflammation and demyelination
- Section 5 Seizure disorders
- Section 6 Psychiatric and neurodegenerative diseases
- Section 7 Trauma
- Section 8 Pediatrics
- Section 9 The spine
- Index
- References
Summary
Why quantification and not visual interpretation?
The quantification of spectral peaks plays an important role in MRS, and pure visual readings of spectra are less common compared with MRI. The reason for this difference is that MRI relies on the detection of spatial abnormalities as a result of disease conditions, whereas MRS interpretation commonly relies on the interpretation of differences in relative proportions of metabolite peaks at a given location. Furthermore, spectroscopic peaks reflect the concentrations of metabolites in the tissue; however, it is impossible to determine these concentrations visually.
These points are illustrated in Fig. 2.1, which shows proton spectra from a lymphoma and a contralateral voxel in a patient with AIDS. Since the spectra can be plotted with arbitrary vertical scaling, it is unclear if a given metabolite peak, and its associated concentration, in the lesion is higher or lower compared with the healthy brain tissue. It is even more difficult to estimate the relative heights of the metabolite peaks within each voxel. Therefore, the ultimate goal of spectral analysis is to determine accurate values for metabolite peak areas and, ultimately, for metabolite concentrations.
- Type
- Chapter
- Information
- Clinical MR NeuroimagingPhysiological and Functional Techniques, pp. 21 - 29Publisher: Cambridge University PressPrint publication year: 2009