scholarly journals Multivariate statistical mapping of spectroscopic imaging data

2009 ◽  
Vol 63 (1) ◽  
pp. 20-24 ◽  
Author(s):  
Karl Young ◽  
Varan Govind ◽  
Khema Sharma ◽  
Colin Studholme ◽  
Andrew A. Maudsley ◽  
...  
Keyword(s):  
Spectroscopic Imaging ◽  
Imaging Data ◽  
Multivariate Statistical ◽  
Statistical Mapping

scholarly journals Analysis of Variance in Spectroscopic Imaging Data from Human Tissues

2011 ◽  
Vol 84 (2) ◽  
pp. 1063-1069 ◽  
Author(s):  
Jin Tae Kwak ◽  
Rohith Reddy ◽  
Saurabh Sinha ◽  
Rohit Bhargava
Keyword(s):  
Analysis Of Variance ◽  
Spectroscopic Imaging ◽  
Human Tissues ◽  
Imaging Data

Analysis of Spectroscopic Imaging Data by Fuzzy C-Means Clustering

1997 ◽  
Vol 69 (16) ◽  
pp. 3370-3374 ◽  
Author(s):  
James R. Mansfield ◽  
Michael G. Sowa ◽  
Gordon B. Scarth ◽  
Rajmund L. Somorjai ◽  
Henry H. Mantsch
Keyword(s):  
Spectroscopic Imaging ◽  
Imaging Data ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

Application of time-domain fitting in the quantification ofin vivo1H spectroscopic imaging data sets

1992 ◽  
Vol 5 (4) ◽  
pp. 171-178 ◽  
Author(s):  
R. de Beer ◽  
A. van den Boogaart ◽  
D. van Ormondt ◽  
W. W. F. Pijnappel ◽  
J. A. den Hollander ◽  
...  
Keyword(s):  
Time Domain ◽  
Spectroscopic Imaging ◽  
Data Sets ◽  
Imaging Data ◽  
Fitting In

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.

Fast unsupervised hot-spot detection in1H-MR spectroscopic imaging data using ICA

2009 ◽  
Author(s):  
Markus T. Harz ◽  
Volker Diehl ◽  
Bernd Merkel ◽  
Burckhard Terwey ◽  
Heinz-Otto Peitgen
Keyword(s):  
Hot Spot ◽  
Spectroscopic Imaging ◽  
Imaging Data ◽  
Spot Detection ◽  
Mr Spectroscopic Imaging
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