Field Aaron S, Alexander Andrew L
Departments of Radiology and Biomedical Engineering, University of Wisconsin, Madison, WI, USA.
Top Magn Reson Imaging. 2004 Oct;15(5):315-24. doi: 10.1097/00002142-200410000-00004.
Diffusion-weighted MR images and their analysis using the tensor model open up many new possibilities for tissue characterization, surgical planning, and treatment follow-up in patients with cerebral neoplasms. These possibilities are only just beginning to be fully explored. This article reviews the physical principles underlying diffusion tensor imaging (DTI); the various postprocessing methods available for DTI data in the context of tumor imaging; the commonly encountered patterns of tumor-related alteration to cerebral white matter, as depicted by directionally encoded color maps; and the current state of the art in DTI-based tumor diagnosis and treatment planning.
扩散加权磁共振成像及其使用张量模型的分析为脑肿瘤患者的组织特征描述、手术规划和治疗随访开辟了许多新的可能性。这些可能性才刚刚开始得到充分探索。本文回顾了扩散张量成像(DTI)的物理原理;在肿瘤成像背景下可用于DTI数据的各种后处理方法;方向编码彩色图所描绘的与肿瘤相关的脑白质改变的常见模式;以及基于DTI的肿瘤诊断和治疗规划的当前技术水平。