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Data fusion and registration are such important and widely used
tools in medical imaging that it is not possible here to make an
exhaustive review of their applications. Thus, we only present a
few illustrative ones.
Registering time-series data from the same patient, in one or more
modalities, allows to evaluate the progress of a disease. For
instance, Ettinger [48] applies it to the
follow-up of multiple-sclerosis patients. Wong [183]
uses it in epilepsy diagnosis.
Registering images from the same patient in different modalities
allow their simultaneous interpretation. For instance,
Kapouleas [88] or Mangin [101]
register functional Positron Emission Tomography (PET) with
Magnetic Resonance (MR) images where the soft tissues' anatomy can
be seen.
Registering medical images to the physical world permits their use
in image-guided surgery. For instance, Davey [38]
uses it for neuro-surgery planning; Herring [75]
for image-guided surgery of the spine; Wasserman
[178] for radio-therapy treatment planning.
Finally, registering images to a template anatomy can be useful
for comparison purposes, to provide anatomical a priori to
automatic segmentation procedures, ... For instance,
Talairach [151] proposed a standard coordinate system
for the brain. Kikinis [46] developed a digital
brain atlas used - among others - by Warfield
[176] in model-driven segmentation.
Next: State of the Art
Up: Introduction
Previous: Introduction
Olivier Cuisenaire
1999-10-05