Pure absorption mode high-resolution MR spectroscopic images distinguish metastatic from non-metastatic rodent tumors

Abstract

MR signals can be acquired with high spatial and spectral resolution so that each pixel is represented by a high-resolution proton spectrum of water and fat. The spectra can be analyzed to produce images with improved contrast, anatomic accuracy, and sensitivity to contrast media uptake, compared to conventional MR imaging. Analysis of high spectral and spatial resolution (HiSS) MR datasets must take the complex structure of water and fat proton signals in vivo into account. This complexity can greatly increase the information content of HiSS MR images when appropriate data analysis methods are used. We evaluate two methods that effectively increase spectral resolution of HiSS data and, thus, improve image contrast, signal-to-noise ratio, and edge delineation. We describe methods that reduce artifacts due to truncation of the free induction decay, identify maxima of complex proton signals associated with each image voxel, and generate images derived from pure absorption spectra of the water resonance. We demonstrate improvements in image quality obtained with these methods and use them to distinguish between metastatic and non-metastatic rodent tumors based on numerical measures of image texture. Related approaches may significantly improve sensitivity and specificity of clinical MRI.