Texture Analysis: A Review of Neurologic MR Imaging Applications 论文
2010American Journal of Neuroradiology引用 411
Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications
详细信息
- 发表期刊/会议
- American Journal of Neuroradiology
- 发表日期
- 2010-04-15
- 发表年份
- 2010
关键词
Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications
摘要
Texture analysis describes a variety of image-analysis techniques that quantify the variation in surface intensity or patterns, including some that are imperceptible to the human visual system. Texture analysis may be particularly well-suited for lesion segmentation and characterization and for the longitudinal monitoring of disease or recovery. We begin this review by outlining the general procedure for performing texture analysis, identifying some potential pitfalls and strategies for avoiding them. We then provide an overview of some intriguing neuro-MR imaging applications of texture analysis, particularly in the characterization of brain tumors, prediction of seizures in epilepsy, and a host of applications to MS.