Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and <i>B</i><sub>0</sub> Field Inhomogeneity

2015 ◽  
pp. 1-1 ◽  
Author(s):  
Yan Liu ◽  
Chao Ma ◽  
Bryan Clifford ◽  
Fan Lam ◽  
Curtis Johnson ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Spectroscopic Imaging ◽  
Low Rank ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Field Inhomogeneity ◽  
Imaging Data

scholarly journals USE OF PROTON MAGNETIC RESONANCE SPECTROSCOPIC IMAGING DATA IN PLANNING FOCAL RADIATION THERAPIES FOR BRAIN TUMORS

2011 ◽  
Vol 21 (2) ◽  
pp. 69 ◽  
Author(s):  
Edward E Graves ◽  
Andrea Pirzkall ◽  
Tracy R Mcknight ◽  
Daniel B Vigneron ◽  
David A Larson ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Gamma Knife ◽  
Gamma Knife Radiosurgery ◽  
Spectroscopic Imaging ◽  
Target Volume ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Malignant Neoplasms ◽  
Resonance Spectroscopy ◽  
Normal Brain ◽  
Imaging Data

Advances in radiation therapy for malignant neoplasms have produced techniques such as Gamma Knife radiosurgery, capable of delivering an ablative dose to a specific, irregular volume of tissue. However, efficient use of these techniques requires the identification of a target volume that will produce the best therapeutic response while sparing surrounding normal brain tissue. Accomplishing this task using conventional computed tomography (CT) and contrast-enhanced magnetic resonance imaging (MRI) techniques has proven difficult because of the difficulties in identifying the effective tumor margin. Magnetic resonance spectroscopic imaging (MRSI) has been shown to offer a clinically-feasible metabolic assessment of the presence and extent of neoplasm that can complement conventional anatomic imaging. This paper reviews current Gamma Knife protocols and MRSI acquisition, reconstruction, and interpretation techniques, and discusses the motivation for including magnetic resonance spectroscopy findings while planning focal radiation therapies. A treatment selection and planning strategy incorporating MRSI is then proposed, which can be used in the future to assess the efficacy of spectroscopy-based therapy planning.

Grey matter abnormalities in multiple sclerosis: proton magnetic resonance spectroscopic imaging

2001 ◽  
Vol 7 (4) ◽  
pp. 221-226 ◽  
Author(s):  
Rakesh Sharma ◽  
Ponnada A Narayana ◽  
Jerry S Wolinsky
Keyword(s):  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Proton Magnetic Resonance ◽  
Magnetization Transfer ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Relapsing Remitting ◽  
Cortical Gray Matter ◽  
Magnetic Resonance Imaging Mri ◽  
Mri Characteristics

Pathologically defined abnormalities in the cortical gray matter (GM) are well described in multiple sclerosis (MS) but are infrequently seen by conventional magnetic resonance imaging (MRI). We systematically evaluated 52 relapsing - remitting MS patients and 20 normal volunteers with high resolution MRI and short echo proton magnetic resonance spectroscopic imaging (MRSI). Individual tissue contributions to the spectroscopic voxels were estimated based on MRI that incorporated both CSF suppression and magnetization transfer, or double inversion images in which both CSF and GM were suppressed. Strong resonances in the 0.8 to 1.5 p.p.m. spectral region were observed in 13 MS patients. Image segmentation based on the MRI characteristics of tissues contributing to the spectroscopic voxels showed that these additional peaks originated mainly from GM. The presence of these additional peaks suggests that the normal appearance GM on MRI, is biochemically abnormal in a substantial proportion of relapsing-remitting MS patients.

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