Imperial College London


Faculty of EngineeringDepartment of Computing

Head of Department of Computing



+44 (0)20 7594 8333d.rueckert Website




568Huxley BuildingSouth Kensington Campus






BibTex format

author = {Rueckert, D and Schnabel, JA},
doi = {10.1007/978-3-642-44907-9_7},
journal = {Studies in Computational Intelligence},
pages = {137--156},
title = {Registration and segmentation in medical imaging},
url = {},
volume = {532},
year = {2014}

RIS format (EndNote, RefMan)

AB - 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. © 2014 Springer-Verlag Berlin Heidelberg.
AU - Rueckert,D
AU - Schnabel,JA
DO - 10.1007/978-3-642-44907-9_7
EP - 156
PY - 2014///
SN - 1860-949X
SP - 137
TI - Registration and segmentation in medical imaging
T2 - Studies in Computational Intelligence
UR -
VL - 532
ER -