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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:A new multi-modality model for effective intensity
standardization and image registration - Chen\, K
(University of Liverpool)
DTSTART;TZID=Europe/London:20110825T160000
DTEND;TZID=Europe/London:20110825T163000
UID:TALK32493AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/32493
DESCRIPTION:Image registration and segmentation tasks lie in t
he heart of Medical Imaging. \nIn registration\, o
ur concern is to align two or more images using de
formable transforms that have desirable regulariti
es. In a multimodal image registration scenario\,
where two given images have similar features\, but
non-comparable intensity variations\, the sum of
squared differences is not suitable to measure ima
ge similarities. \nIn this talk\, we first propose
a new variational model based on combining intens
ity and geometric transformations\, as an alternat
ive to using mutual information and an improvement
to the work by Modersitzki and Wirtz (2006\, LNCS
\, vol.4057)\, and then develop a fast multigrid a
lgorithm for solving the underlying system of four
th order and nonlinear partial differential equati
ons. We can demonstrate the effective smoothing pr
operty of the adopted primal-dual smoother by a lo
cal Fourier analysis. \nAn earlier use of mean cur
vature to regulairse image denosing models was in
T F Chan and W Zhu (2008) and the previous work of
developing a multigrid algorithm for the Chan-Zhu
model was by Brito-Chen (2010). Numerical tests w
ill be presented to show both the improvements ach
ieved in image registration quality as well as mul
tigrid efficiency.\nJoint work with Dr Noppadol Ch
umchob.\n\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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