An automated technique for the quantitative assessment of 3D-MRSI data from patients with glioma

Although proton magnetic resonance spectroscopic Imaging (H-1-MRSI) has bee n shown to be effective for localizing tumor in patients with gliomas, it i s not a routinely used clinical tool. This Is due, In part, to the lack of a standardized, objective method for analyzing spectra. We present an autom ated technique for a) selecting a population of voxels from each patient th at have the spectral features of normal brain regions, and b) using the sel ected voxels as internal controls for quantifying the probability of abnorm ality at each voxel location. The technique was demonstrated on a phantom, 14 normal volunteers, and 30 patients with histologically proven tumor. In addition, we demonstrated the usefulness of the method for monitoring patie nts In serial studies from two glioma patients with progressive disease. (C ) 2001 Wiley-Liss, Inc.