作者: Xiaobing Fan , J.N. River , H. Al-Hallaq , M. Zamora , K. Tarlo
DOI: 10.1109/IEMBS.2000.900519
关键词: Image texture 、 Image quality 、 Contrast (vision) 、 Hiss 、 Pixel 、 Materials science 、 Nuclear magnetic resonance 、 Signal-to-noise ratio 、 Image resolution 、 Voxel
摘要: 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 fat. The spectra analyzed to produce images improved contrast, anatomic accuracy, sensitivity contrast media uptake, compared conventional imaging. Analysis (HiSS) datasets must take the complex structure fat in vivo into account. This complexity greatly increase information content HiSS when appropriate data analysis methods are used. We evaluate two effectively and, thus, improve image signal-to-noise ratio, edge delineation. describe reduce artifacts due truncation free induction decay, identify maxima associated voxel, generate derived from pure absorption resonance. demonstrate improvements quality obtained these use them distinguish between metastatic non-metastatic rodent tumors based on numerical measures texture. Related approaches may significantly specificity clinical MRI.