Abstract
Sensitivity limitations of in vivo magnetic resonance spectroscopic imaging (MRSI) require that the extent of spatialfrequency (k-space) sampling be limited, thereby reducing spatial resolution and increasing the effects of Gibbs ringing that is associated with the use of Fourier transform reconstruction. Additional problems occur in the spectral dimension, where quantitation of individual spectral components is made more difficult by the typically low signal-to-noise ratios, variable lineshapes, and baseline distortions, particularly in areas of significant magnetic field inhomogeneity. Given the potential of in vivo MRSI measurements for a number of clinical and biomedical research applications, there is considerable interest in improving the quality of the metabolite image reconstructions. In this report, a reconstruction method is described that makes use of parametric modeling and MRI-derived tissue distribution functions to enhance the MRSI spatial reconstruction. Additional preprocessing steps are also proposed to avoid difficulties associated with image regions containing spectra of inadequate quality, which are commonly present in the in vivo MRSI data.
| Original language | English |
|---|---|
| Pages (from-to) | 686-695 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Medical Imaging |
| Volume | 26 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1 2007 |
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Keywords
- Brain metabolite images
- Image reconstruction
- Magnetic resonance spectroscopic imaging (MRSI)
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
- Radiological and Ultrasound Technology
- Electrical and Electronic Engineering
- Computer Science Applications
- Computational Theory and Mathematics
Cite this
Improved reconstruction for MR spectroscopic imaging. / Yufang, Bao; Maudsley, Andrew A.
In: IEEE Transactions on Medical Imaging, Vol. 26, No. 5, 01.05.2007, p. 686-695.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Improved reconstruction for MR spectroscopic imaging
AU - Yufang, Bao
AU - Maudsley, Andrew A
PY - 2007/5/1
Y1 - 2007/5/1
N2 - Sensitivity limitations of in vivo magnetic resonance spectroscopic imaging (MRSI) require that the extent of spatialfrequency (k-space) sampling be limited, thereby reducing spatial resolution and increasing the effects of Gibbs ringing that is associated with the use of Fourier transform reconstruction. Additional problems occur in the spectral dimension, where quantitation of individual spectral components is made more difficult by the typically low signal-to-noise ratios, variable lineshapes, and baseline distortions, particularly in areas of significant magnetic field inhomogeneity. Given the potential of in vivo MRSI measurements for a number of clinical and biomedical research applications, there is considerable interest in improving the quality of the metabolite image reconstructions. In this report, a reconstruction method is described that makes use of parametric modeling and MRI-derived tissue distribution functions to enhance the MRSI spatial reconstruction. Additional preprocessing steps are also proposed to avoid difficulties associated with image regions containing spectra of inadequate quality, which are commonly present in the in vivo MRSI data.
AB - Sensitivity limitations of in vivo magnetic resonance spectroscopic imaging (MRSI) require that the extent of spatialfrequency (k-space) sampling be limited, thereby reducing spatial resolution and increasing the effects of Gibbs ringing that is associated with the use of Fourier transform reconstruction. Additional problems occur in the spectral dimension, where quantitation of individual spectral components is made more difficult by the typically low signal-to-noise ratios, variable lineshapes, and baseline distortions, particularly in areas of significant magnetic field inhomogeneity. Given the potential of in vivo MRSI measurements for a number of clinical and biomedical research applications, there is considerable interest in improving the quality of the metabolite image reconstructions. In this report, a reconstruction method is described that makes use of parametric modeling and MRI-derived tissue distribution functions to enhance the MRSI spatial reconstruction. Additional preprocessing steps are also proposed to avoid difficulties associated with image regions containing spectra of inadequate quality, which are commonly present in the in vivo MRSI data.
KW - Brain metabolite images
KW - Image reconstruction
KW - Magnetic resonance spectroscopic imaging (MRSI)
UR - http://www.scopus.com/inward/record.url?scp=34247629723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247629723&partnerID=8YFLogxK
U2 - 10.1109/TMI.2007.895482
DO - 10.1109/TMI.2007.895482
M3 - Article
C2 - 17518063
AN - SCOPUS:34247629723
VL - 26
SP - 686
EP - 695
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
SN - 0278-0062
IS - 5
ER -