The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification.

[1]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[2]  David G. Stork,et al.  Pattern Classification , 1973 .

[3]  Christopher M. Dobson,et al.  Resolution enhancement of protein PMR spectra using the difference between a broadened and a normal spectrum , 1973 .

[4]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[5]  R L Ehman,et al.  Cerebral astrocytomas: histopathologic correlation of MR and CT contrast enhancement with stereotactic biopsy. , 1988, Radiology.

[6]  C R Bird,et al.  Gliomas: classification with MR imaging. , 1990, Radiology.

[7]  D. van Ormondt,et al.  SVD-based quantification of magnetic resonance signals , 1992 .

[8]  B. Ross,et al.  Clinical Applications of Magnetic Resonance Spectroscopy , 1997, Epilepsia.

[9]  A. C. Rencher Methods of multivariate analysis , 1995 .

[10]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[11]  D. Louis Collins,et al.  Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy , 1996, Nature Medicine.

[12]  A R Tate,et al.  Towards a method for automated classification of 1H MRS spectra from brain tumours , 1998, NMR in biomedicine.

[13]  Clinical applications of magnetic resonance spectroscopy , 1998 .

[14]  Adrian E. Raftery,et al.  MCLUST: Software for Model-Based Cluster Analysis , 1999 .

[15]  S. Nelson,et al.  Serial evaluation of patients with brain tumors using volume MRI and 3D 1H MRSI , 1999, NMR in biomedicine.

[16]  V. Govindaraju,et al.  Proton NMR chemical shifts and coupling constants for brain metabolites , 2000, NMR in biomedicine.

[17]  L. Turnbull,et al.  Combined proton MR spectroscopy and dynamic contrast enhanced MR imaging of human intracranial tumours in vivo , 2000, NMR in biomedicine.

[18]  Sylvie Grand,et al.  A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images , 2000, Nature Medicine.

[19]  Shigeo Abe DrEng Pattern Classification , 2001, Springer London.

[20]  Susan M. Chang,et al.  Three-dimensional magnetic resonance spectroscopic imaging of histologically confirmed brain tumors. , 2001, Magnetic resonance imaging.

[21]  Lutgarde M. C. Buydens,et al.  Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cem.721 Mixture modelling of medical magnetic resonance data , 2002 .

[22]  I. Smith,et al.  Magnetic resonance spectroscopy in medicine: clinical impact , 2002 .

[23]  A W Simonetti,et al.  Automated correction of unwanted phase jumps in reference signals which corrupt MRSI spectra after eddy current correction. , 2002, Journal of magnetic resonance.

[24]  Carles Arús,et al.  Adult primitive neuroectodermal tumor: proton MR spectroscopic findings with possible application for differential diagnosis. , 2002, Radiology.

[25]  A Gregory Sorensen,et al.  The potential of proton magnetic resonance spectroscopy (1H-MRS) in the diagnosis and management of patients with brain tumors , 2002, Current opinion in oncology.

[26]  A R Tate,et al.  The contribution of proton magnetic resonance spectroscopy ( 1 HMRS) to clinical brain tumour diagnosis , 2002, British journal of neurosurgery.

[27]  Daniel B Vigneron,et al.  In vivo molecular imaging for planning radiation therapy of gliomas: An application of 1H MRSI , 2002, Journal of magnetic resonance imaging : JMRI.

[28]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machines , 2002 .

[29]  Arend Heerschap,et al.  A chemometric approach for brain tumor classification using magnetic resonance imaging and spectroscopy. , 2003, Analytical chemistry.

[30]  J. Rees Advances in magnetic resonance imaging of brain tumours , 2003, Current opinion in neurology.

[31]  S. Nelson Multivoxel magnetic resonance spectroscopy of brain tumors. , 2003, Molecular cancer therapeutics.

[32]  S. Nelson Multivoxel magnetic resonance spectroscopy of brain tumors. , 2003, Molecular cancer therapeutics.

[33]  W El-Deredy,et al.  Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection , 2003, Statistics in medicine.

[34]  Soonmee Cha,et al.  Imaging Glioblastoma Multiforme , 2003, Cancer journal.

[35]  N. Obuchowski Receiver operating characteristic curves and their use in radiology. , 2003, Radiology.

[36]  Thomas Dierks,et al.  Determination of histopathological tumor grade in neuroepithelial brain tumors by using spectral pattern analysis of in vivo spectroscopic data. , 2003, Journal of neurosurgery.

[37]  V. L. Doyle,et al.  Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy , 2003, Magnetic resonance in medicine.

[38]  Carles Arús,et al.  Automated classification of short echo time in in vivo 1H brain tumor spectra: A multicenter study , 2003, Magnetic resonance in medicine.

[39]  Sabine Van Huffel,et al.  Brain tumor classification based on long echo proton MRS signals , 2004, Artif. Intell. Medicine.

[40]  J. Suykens,et al.  Classification of brain tumours using short echo time 1H MR spectra. , 2004, Journal of magnetic resonance.

[41]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.

[42]  C. -Z. Ye,et al.  Fuzzy rules to predict degree of malignancy in brain glioma , 2002, Medical and Biological Engineering and Computing.