Abstract
Medical imaging has a key role in current workflows for the assessment of clinical decisions in many disease scenarios. Concretely, imaging biomarkers are transforming the way radiology has taken part in the healthcare cycle, from conventional workflows based on qualitative criteria and the experience of the radiologist toward having a powerful measurement tool in each hospital, allowing for the extraction of quantitative indicators of tissue and organ characteristics by the application of image processing methods and algorithms to medical images from modalities like X-ray (XR), magnetic resonance (MR) imaging, computed tomography (CT), ultrasound (US), positron emission tomography (PET), single-photon emission computed tomography (SPECT), among others.
Imaging biomarkers analysis methods can be structured both in those related to structural properties and those focused on analyzing dynamic features. In the present chapter, we will focus on the explanation and description of structural imaging biomarkers.
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Alberich-Bayarri, A. (2017). Imaging Biomarker Structural Analysis. In: MartÃ-BonmatÃ, L., Alberich-Bayarri, A. (eds) Imaging Biomarkers. Springer, Cham. https://doi.org/10.1007/978-3-319-43504-6_6
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DOI: https://doi.org/10.1007/978-3-319-43504-6_6
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