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Intrasubject Registration for Change Analysis in Medical Imaging

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Title Intrasubject Registration for Change Analysis in Medical Imaging
Period 03 / 2003 - 10 / 2008
Status Completed
Dissertation Yes
Research number OND1298194
Data Supplier Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)

Abstract

In clinical practice regularly images of persons are being compared. Since with each imaging session people have a different position in the scanner, it is possible to compare the images only after registration, i.e. that one image is transformed in order to obtain correspondence of the content of the images. If there are anatomic differences in the images (e.g. due to tumour growth or because the images stem from different individuals), an elastic transformation has to be applied, in which the anatomy in one picture is deformed until this corresponds with the anatomy in the other picture. The problem in elastic transformation is mostly not to attain correspondence between two pictures, but to make the underlying deformation realistic. The majority of existing methods tries to prevent unrealistic deformation by forbidding large or sharp deformations. In some cases a physical model of material deformation is used to steer the deformation. In this project we wish to improve elastic registration through model controlled deformation. First these may be physical models. As a second type of model statistical deformation models will be used. To this end a mean deformation and the main variations in deformation will be derived from a collection of sample deformations. This enables to weigh the statistical probability of a deformation in the registration. The method to be developed will be applied in clinical questions like the registration of images of groups of individuals. With such studies differences in e.g. anatomy or disease pattern may be analysed.

Abstract (NL)

Het promotieonderzoek van Marius Staring gaat over het analyseren van veranderingen in medische beelden door te zoeken naar overeenkomsten tussen de beelden. Zodra de overeenkomst bekend is - via beeldregistratie - kunnen afwijkingen worden gedetecteerd. In zijn proefschrift beschrijft Staring technieken om op de juiste manier beelregistratie te doen. Toegepassing op zogenaamde matglas-nodules in de long laat zien dat het mogelijk is om in een vroeger stadium groei te detecteren, wat mogelijk een verbeterde diagnose voor de patiƫnt oplevert.

Related organisations

Related people

Supervisor Prof.dr.ir. M.A. Viergever
Co-supervisor Prof.dr. J.P.W. Pluim
Doctoral/PhD student Dr.ir. S. Klein
Doctoral/PhD student Dr.ir. M. Staring

Classification

A70000 Public health and health care
D11600 Probability theory, statistics
D21100 Bioinformatics, biomathematics, biomechanics
D21200 Biophysics, clinical physics
D21600 Anatomy, morphology
D23200 Organs and organ systems

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