MRI Texture Analysis and Diffusion Tensor Imaging in Chronic Right Hemisphere Ischemic Stroke

Abstract

In addition to DTI method, TA could assist in revealing the changes caused by infarction, also outside the lesion site. Damaged areas were found more heterogeneous and random in texture compared to unaffected sites.

Prediction of Malignant Acute Middle Cerebral Artery Infarction via Computed Tomography Radiomics

“…To date, research regarding the beneficial role of texture analysis in cerebral infarction is still scarce ( Sikiö et al, 2015 ). Nevertheless, texture analysis was found beneficial in identifying the presence of previous stroke lesions on MR images ( Ortiz-Ramón et al, 2019 ).…”

Radiomics in Stroke Neuroimaging: Techniques, Applications, and Challenges

“…Two other studies have investigated the diagnostic value of radiomics in stroke lesions using MR images. Sikio et al [58] evaluated 30 patients with chronic right hemisphere infarction and found that GLCM texture features derived from T2-weighted MR images were capable of revealing changes in both ischemic lesions and the ipsilateral structure outside the lesion (i.e., centrum semiovale). The ischemic region had lower homogeneity texture parameters than the unaffected side, but with relatively high values of complexity and randomness.…”

Predicting ventricular tachyarrhythmia in patients with systolic heart failure based on texture features of the gray zone from contrast-enhanced magnetic resonance imaging

“…Although texture analysis used images acquired by diagnostic practice, it involves an ensemble of mathematical computations performed with information contained within the images [33]. Texture features extracted from medical images have been demonstrated to provide incremental diagnostic, therapeutic, and prognostic information in many disease entities including various types of cancer [16,17,34], cerebral vascular accident [14,18], liver cirrhosis [35], gastro-intestinal diseases [36], retinal degeneration, and osteoarthritis [37], to list only a few. In heart diseases, texture analysis has been successfully applied to cardiac ultrasonography for myocardial tissue characterization after acute MI [38].…”

“…On the other hand, among image analysis techniques, texture analysis has been used in many applications of computer vision. Image textures correspond to brightness values and locations of image pixels [14]. Texture analysis provides a vocabulary to represent the image signal intensity or pattern variations [15].…”