Registration and segmentation in medical imaging

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationRegistration and Recognition in Images and Videos
PublisherSpringer Verlag
Pages137-156
Number of pages20
ISBN (Print)9783642449062
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume532
ISSN (Print)1860-949X

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