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L. Zhang and J. M. Reinhardt. 3D pulmonary CT image registration with a standard lung atlas. In Proc. SPIE Conf. Medical Imaging, volume 3978, pages 67-77, 2000.

Abstract: A 3D anatomic atlas can be used to analyze pulmonary structures in CT images. To use an atlas to guide segmentation processing, the image being analyzed must be aligned and registered with the atlas. We have developed a 3D surface-based registration technique to register pulmonary CT volumes. To demonstrate the method, we have constructed an atlas from a CT image volume of a normal human male. The atlas is registered to new images in two steps: 1) a global transformation, and 2) a local elastic transformation. In the local transformation, the image and atlas volumes are divided into small subimages called cubes. The similarity between cubes in the image and atlas is measured to find the best match displacement vectors. These displacement vectors are processed using Burr?s dynamic model to give a smoothed deformation vector for each voxel in the image. This method has been tested by three intra-subject registrations and three inter-subject registrations from four different normal human subjects. The results show that lung surface-based registration can register the internal lobar fissures from the atlas to the image within about 2.73 +/- 2.05 mm for intra-subject registration, and 5.96 +/- 4.99 mm for inter-subject registration. This registration can be used as an initialization for additional segmentation processing.

BibTeX:

@InProceedings{zhang00a,
author = {L. Zhang and J. M. Reinhardt},
title = {3{D} pulmonary {CT} image registration with a standard lung atlas},
booktitle = {Proc. SPIE Conf. Medical Imaging},
year = 2000,
volume = 3978,
pages = 67-77,
}

Keywords: atlas lung registration

Other publications by: L. Zhang, J. M. Reinhardt

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B. Li, G. E. Christensen, G. McLennan, E. A. Hoffman, and J. M. Reinhardt. Establishing a normative atlas of the human lung: Inter-subject warping and registration of volumetric CT. Acad. Radiol., (10)3:255-265, 2003. (details)
B. Li, G. E. Christensen, G. McLennan, E. A. Hoffman, and J. M. Reinhardt. Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3-D Consistent Image Registration. Medical Physics, (35)12:5575-5583, 2008. (details)
J. M. Reinhardt, K. Ding, K. Cao, G. E. Christensen, E. A. Hoffman, and S. V. Bodas. Registration-based estimates of local lung tissue expansion compared to xenon-CT measures of specific ventilation. Medical Image Analysis, (12)6:752-763, 2008. (details)
J. M. Reinhardt and E. A. Hoffman. Quantitative Pulmonary Imaging: Spatial and Temporal Considerations in HRCT. Acad. Radiol., (5)8:539-546, 1998. (details)
S. Hu, E. A. Hoffman, and J. M. Reinhardt. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Medical Imaging, (20)6:490-498, 2001. (details)

Related conference papers:

B. Li, G. E. Christensen, J. Dill, E. A. Hoffman, and J. M. Reinhardt. 3-D inter-subject warping and registration of pulmonary CT images for a human lung model. In Proc. SPIE Conf. Medical Imaging, volume 4683, pages 324-335, 2002. (details)
F. Li, C. Chen, E. A. Hoffman, and J. M. Reinhardt. Evaluation and application of 3D lung warping and registration model using HRCT images. In Proc. SPIE Conf. Medical Imaging, volume 4321, pages 234-243, 2001. (details)
J. de Ryk, E. Namati, J. M. Reinhardt, C. Piker, Y. Xu, L. Liu, E. A. Hoffman, and G. McLennan. A whole organ serial sectioning and imaging system for correlation of pathology to computer tomography. In Proc. SPIE Conf. Photonics West, volume 5324, pages 224-234, 2004. (details)
S. Krishnan, K. C. Beck, J. M. Reinhardt, K. A. Carlson, B. A. Simon, R. K. Albert, and E. A. Hoffman. Regional lung ventilation from volumetric CT scans using image warping functions. In 2004 International Symposium on Biomedical Imaging, pages 792-795, 2004. (details)
Y. Pan, D. Kumar, E. A. Hoffman, G. E. Christensen, G. McLennan, J. H. Song, A. Ross, B. A. Simon, and J. M. Reinhardt. Regional lung expansion via 3D image registration. In Proc. SPIE Conf. Medical Imaging, volume 5746, pages 453-464, 2005. (details)

Related theses:

K. Ding. Registration-based regional lung mechanical analysis. MS thesis, The University of Iowa, Iowa City, IA, 2008. (details)
B. Li. The construction of a normative human lung atlas by inter-subject registration and warping of CT images. PhD thesis, The University of Iowa, Iowa City, IA, 2004. (details)
Y. Pan. Estimation of regional lung expansion via 3D image registration. MS thesis, The University of Iowa, Iowa City, IA, 2005. (details)
L. Zhang. Atlas-driven lung lobe segmentation in volumetric X-ray CT images. PhD thesis, The University of Iowa, Iowa City, IA, 2002. (details)