Abstract
We present methods for extracting an average representation of respiratory dynamics from free-breathing lung MR images. Due to individual variations in respiration and the difficulties of real-time pulmonary imaging, time of image acquisition bears little physiologic meaning. Thus, we reparameterize each individual’s expiratory image sequence with respect to normalized lung capacity (area, as a substitute for volume), where 1 represents maximal capacity and 0 minimal capacity, as measured by semi-automated image segmentation. This process, combined with intra-subject pairwise non-rigid registration, is used to interpolate intermediate images in the normalized capacity interval [0,1]. Images from separate individuals with the same normalized capacity are taken to be at corresponding points during expiration. We then construct an average representation of pulmonary dynamics from capacity-matched image sequences. This methodology is illustrated using two coronal 2-D datasets from healthy individuals.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Kamm, R.D.: Airway Wall Mechanics. Ann. Rev. Biomed. Engr. 1, 47–72 (1999)
Hatabu, H., Ohno, Y., Uematsu, H., Oshio, K., Gefter, W.B., Gee, J.C.: Lung biomechanics via non-rigid registration of serial MR images. Radiology 221(P), 630 (2001)
Sundaram, T., Gee, J., Nishino, M., Kiryu, S., Mori, Y., Kuroki, M., Takahashi, M., Hatabu, H.: 3-D Lung Motion Estimation Via Non-Rigid Registration Using Volumetric MR and CT. In: Proc. ISMRM 12th Mtg., p. 2609 (2004)
Gee, J.C., Sundaram, T., Hasegawa, I., Uematsu, H., Hatabu, H.: Characterization of Regional Pulmonary Mechanics from Serial MRI Data. Acad. Rad. 10, 1147–1152 (2003)
Sundaram, T.A., Gee, J.C.: Biomechanical analysis of the lung: a feature-based approach using customized finite element meshes. In: Proc. ISMRM 11th Mtg., p. 410 (2003)
Avants, B., Gee, J.C.: Non-rigid registration with general similarity, diffeomorphic and transient quadratic priors. (submitted)
Ledesma-Carbayo, M.J., Kybic, J., Suhling, M., Hunziker, P., Desco, M., Santos, A., Unser, M.: Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence. In: Proc. 1st IEEE ISBI, vol. 2, pp. 585–588 (2002)
Perperidis, D., Rao, A., Mohiaddin, R., Rueckert, D.: Non-rigid spatio-temporal alignment of 4D cardiac MR images. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds.) WBIR 2003. LNCS, vol. 2717, pp. 191–200. Springer, Heidelberg (2003)
Ho, S., Cody, H., Gerig, G.: SNAP: A Software Package for User-Guided Geodesic Snake Segmentation. Technical report, University of North Carolina (2003), http://www.cs.unc.edu/ erig/publications/MICCAI03-Ho-snap.pdf
Avants, B., Gee, J.C.: Shape averaging with diffeomorphic flows for atlas creation. In: International Symposium on Biomedical Imaging (2004) (in press)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sundaram, T.A., Avants, B.B., Gee, J.C. (2004). A Dynamic Model of Average Lung Deformation Using Capacity-Based Reparameterization and Shape Averaging of Lung MR Images. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30136-3_121
Download citation
DOI: https://doi.org/10.1007/978-3-540-30136-3_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22977-3
Online ISBN: 978-3-540-30136-3
eBook Packages: Springer Book Archive