Lung lobar slippage assessed with the aid of image registration

Authors:
Youbing Yin;Eric A. Hoffman;Ching-Long Lin
Affiliations:
Department of Mechanical & Industrial Engineering, The University of Iowa, Iowa City, IA;Departments of Biomedical Engineering, Radiology, and Medicine, The University of Iowa, Iowa City, IA;Department of Mechanical & Industrial Engineering, The University of Iowa, Iowa City, IA
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Year:
2010

Citing 2
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Abstract

We present a registration algorithm that can handle the discontinuity of deformation with an ultimate goal to investigate how pulmonary lobes deform to accommodate chest wall shape changes. We first show that discontinuities can exist in both normal and tangent directions. Such discontinuities are accounted for by a spatially varying diffusive regularization which restricts smoothing inside objects. Meanwhile, a distance term is combined with the sum of squared intensity differences (SSD) to explicitly match corresponding interfaces and intensity patterns. The capability of this new method is demonstrated using two-dimensional (2-D) synthetic examples with complete or incomplete "fissures" and threedimensional (3-D) computed tomography (CT) lung datasets.