Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis

Abstract

The findings highlight potential for texture analysis measures in classifying central nervous system demyelinating diseases that warrants further investigation.

Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT

“…Beyond the head and neck, texture analysis techniques similar to those used in this study have also been applied to myriad other organs, including the central nervous system, bone, and cartilage, among others. 12,17,[23][24][25] Each texture feature evaluates alternating pixel intensities according to a mathematic algorithm. The gray-level run-length features are spatially dependent texture features, and the matrices used to compute the GLRL features are based on the length and quantity of runs (adjacent pixels with similar intensity values, as explained in the "Image Segmentation and Texture Analysis" section).…”

Voxel-Based Texture Analysis of the Brain

“…While the current approach of ROI-based texture analysis has been successfully used in several applications such as characterization of brain tumors [2–3], detection of lesions in epilepsy [4–6] and multiple sclerosis [9–11], and to study AD [7–8], it is limited to the analysis of a specified anatomical region. To the best of our knowledge, there is no spatially non-specific texture analysis method that provides a 3D statistical map.…”

“…Texture analysis can identify intensity patterns including those that cannot easily be detected by the unaided human eye [1]. Applied to MR images, the methods have been successfully used to study several neurological diseases including brain tumor [2–3], epilepsy [4–6], Alzheimer’s disease [7–8], and multiple sclerosis [9–11]. Robustness to MRI acquisition parameters [12] and noise [13–15] makes texture analysis a reliable and attractive tool for investigation of neuropsychiatric conditions.…”

Pathological correlates of magnetic resonance imaging texture heterogeneity in multiple sclerosis

“…Using mostly the former two outcomes, MRI texture analysis studies in the literature show promise in discriminating pathological from normal tissue in various diseases in the brain and spinal cord, and other organs . In MS, statistical texture analysis shows gray matter and spinal cord texture to correlate with disability and white matter texture to associate with cognition 14 ; moreover, based on local spatial frequency analysis, texture analysis distinguishes T2 lesion activity, identifies persistent and transient T1 hypointense lesions at acute onset, and predicts disease progression over 2 years using baseline lesion texture.…”