2013
DOI: 10.1117/12.2006035
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Highly accurate fast lung CT registration

Abstract: Lung registration in thoracic CT scans has received much attention in the medical imaging community. Possible applications range from follow-up analysis, motion correction for radiation therapy, monitoring of air flow and pulmonary function to lung elasticity analysis. In a clinical environment, runtime is always a critical issue, ruling out quite a few excellent registration approaches. In this paper, a highly efficient variational lung registration method based on minimizing the normalized gradient fields di… Show more

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Cited by 55 publications
(68 citation statements)
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“…where F denotes the domain of F. NGF focuses on edges instead of intensities and has proven to be a reliable distance measure in inhale/exhale registrations of chest CT scans as shown by Rühaak et al [18]. As regularization term elastic regularization is chosen (see, e.g., Modersitzki [15]):…”
Section: Nonlinear Registrationmentioning
confidence: 99%
“…where F denotes the domain of F. NGF focuses on edges instead of intensities and has proven to be a reliable distance measure in inhale/exhale registrations of chest CT scans as shown by Rühaak et al [18]. As regularization term elastic regularization is chosen (see, e.g., Modersitzki [15]):…”
Section: Nonlinear Registrationmentioning
confidence: 99%
“…It is described in [24] as a variational approach, which is based on second order regularization and a data term that penalizes deviations of gradient orientations. It employs affine linear transformation prior to nonlinear registration.…”
Section: Results Tables and Methods Of Comparisonmentioning
confidence: 99%
“…Many methods in this field follow a variational approach and often utilize prior knowledge, such as lung segmentation masks [1,17,16,24,22,26], an initial solution from an affine-linear pre-registration [24], a sparse set of landmark pairs for initialization [22], or they incorporate a diffeomorphic motion assumption into the energy model [1,26] and perform symmetric registration [1,13]. Results of a recent challenge and study presented in [20] established a comprehensive overview of general state-of-the-art methods.…”
Section: Introductionmentioning
confidence: 99%
“…Thirdly, the segmented breast volumes are registered with a non-rigid registration algorithm producing a final deformation field. The proposed registration scheme is inspired by the works of Rühaak et al, 6 which uses the discretize-then-optimize paradigm in a multilevel Gauss-Newton optimization framework. 7 A schematic overview of the entire workflow is given in Fig.…”
Section: Methodsmentioning
confidence: 99%