Repository logo
 
Loading...
Thumbnail Image
Publication

Texture for neuroimaging

Use this identifier to reference this record.
Name:Description:Size:Format: 
2024_Nunes_Texture for Nuroimage.pdf899.3 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Texture analysis is an umbrella term for multiple image analysis techniques that quantify and characterize the distribution of the image’s gray levels. It has a natural application in biomedical image analysis, where texture-based techniques are increasingly being incorporated into neuroimaging research. In this chapter, the role of texture analysis in the field of neuroimaging is addressed. Neuroimaging applications of texture-based approaches are contextualized within past and recent developments in image texture analysis, the categories of texture analysis methods, and the typical texture-based problem types, namely, classification and segmentation. Neuroimaging applications using magnetic resonance imaging, positron emission tomography, and optical coherence tomography are individually reviewed, and some considerations on the future perspectives for texture-based approaches in neuroimaging are made.

Description

Keywords

Pedagogical Context

Citation

Organizational Units

Journal Issue