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Lung Lobar Slippage Assessed with the Aid of Image Registration
Conference proceeding   Open access   Peer reviewed

Lung Lobar Slippage Assessed with the Aid of Image Registration

Youbing Yin, Eric A Hoffman and Ching-Long Lin
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, pp.578-585
Lecture Notes in Computer Science
2010
DOI: 10.1007/978-3-642-15745-5_71
PMCID: PMC3064991
PMID: 20879362
url
https://doi.org/10.1007/978-3-642-15745-5_71View
Published (Version of record) Open Access

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 three-dimensional (3-D) computed tomography (CT) lung datasets.
Registration Algorithm Tangent Direction Nonrigid Registration Image Registration Deformable Image Registration

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