Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT

V Gorbunova, P Lo, H Ashraf, A Dirksen, M Nielsen, M de Bruijne

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36 Citations (Scopus)

Abstract

We present a new image registration based method for monitoring regional disease progression in longitudinal image studies of lung disease. A free-form image registration technique is used to match a baseline 3D CT lung scan onto a following scan. Areas with lower intensity in the following scan compared with intensities in the deformed baseline image indicate local loss of lung tissue that is associated with progression of To account for differences in lung intensity owing to differences in the inspiration level in the two scans rather than disease progression, we propose to adjust the density of lung tissue With respect to local expansion or compression such that the total weight of the limps is preserved during deformation. Our method provides a good estimation of regional destruction of lung tissue for subject's with a significant, difference in inspiration level between CT scans and may result in a more sensitive measure of disease progression than standard quantitative CT measures.
Original languageUndefined/Unknown
Pages (from-to)863-870
Number of pages8
JournalLecture Notes in Computer Science
Volume5242
DOIs
Publication statusPublished - 2008

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