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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Registration and Segmentation in Medical Imaging
verfasst von : Daniel Rueckert, Julia A. Schnabel
Erschienen in: Registration and Recognition in Images and Videos
Verlag: Springer Berlin Heidelberg
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The analysis of medical images plays an increasingly important role in many clinical applications. Different imaging modalities often provide complementary anatomical information about the underlying tissues such as the X-ray attenuation coefficients from X-ray computed tomography (CT), and proton density or proton relaxation times from magnetic resonance (MR) imaging. The images allow clinicians to gather information about the size, shape and spatial relationship between anatomical structures and any pathology, if present. Other imaging modalities provide functional information such as the blood flow or glucose metabolism from positron emission tomography (PET) or single-photon emission tomography (SPECT), and permit clinicians to study the relationship between anatomy and physiology. Finally, histological images provide another important source of information which depicts structures at a microscopic level of resolution.