Texture for neuroimaging

Nunes, Ana; Serranho, Pedro; Castelo-Branco, Miguel; Bernardes, Rui

http://hdl.handle.net/10400.2/19541

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Autores

Nunes, Ana

Serranho, Pedro

Castelo-Branco, Miguel

Bernardes, Rui

Resumo(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.