Diffeomorphic density registration in thoracic computed tomography

Caleb Rottman; Ben Larson; Pouya Sabouri; Amit Sawant; Sarang Joshi

doi:10.1007/978-3-319-46726-9_6

Diffeomorphic density registration in thoracic computed tomography

Caleb Rottman, Ben Larson, Pouya Sabouri, Amit Sawant, Sarang Joshi

Radiation Oncology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Accurate motion estimation in thoracic computed tomography (CT) plays a crucial role in the diagnosis and treatment planning of lung cancer. This paper provides two key contributions to this motion estimation. First,we show we can effectively transform a CT image of effective linear attenuation coefficients to act as a density,i.e. exhibiting conservation of mass while undergoing a deformation. Second,we propose a method for diffeomorphic density registration for thoracic CT images. This algorithm uses the appropriate density action of the diffeomorphism group while offering a weighted penalty on local tissue compressibility. This algorithm appropriately models highly compressible areas of the body (such as the lungs) and incompressible areas (such as surrounding soft tissue and bones).

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
Editors	Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin
Publisher	Springer Verlag
Pages	46-53
Number of pages	8
ISBN (Print)	9783319467252
DOIs	https://doi.org/10.1007/978-3-319-46726-9_6
State	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9902 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Density action
Diffeomorphisms
Image registration
Thoracic motion estimation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-46726-9_6

Cite this

Rottman, C., Larson, B., Sabouri, P., Sawant, A., & Joshi, S. (2016). Diffeomorphic density registration in thoracic computed tomography. In L. Joskowicz, M. R. Sabuncu, W. Wells, G. Unal, & S. Ourselin (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (pp. 46-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_6

Diffeomorphic density registration in thoracic computed tomography. / Rottman, Caleb; Larson, Ben; Sabouri, Pouya et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. ed. / Leo Joskowicz; Mert R. Sabuncu; William Wells; Gozde Unal; Sebastian Ourselin. Springer Verlag, 2016. p. 46-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rottman, C, Larson, B, Sabouri, P, Sawant, A & Joshi, S 2016, Diffeomorphic density registration in thoracic computed tomography. in L Joskowicz, MR Sabuncu, W Wells, G Unal & S Ourselin (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer Verlag, pp. 46-53. https://doi.org/10.1007/978-3-319-46726-9_6

Rottman C, Larson B, Sabouri P, Sawant A, Joshi S. Diffeomorphic density registration in thoracic computed tomography. In Joskowicz L, Sabuncu MR, Wells W, Unal G, Ourselin S, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag. 2016. p. 46-53. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46726-9_6

Rottman, Caleb ; Larson, Ben ; Sabouri, Pouya et al. / Diffeomorphic density registration in thoracic computed tomography. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. editor / Leo Joskowicz ; Mert R. Sabuncu ; William Wells ; Gozde Unal ; Sebastian Ourselin. Springer Verlag, 2016. pp. 46-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Diffeomorphic density registration in thoracic computed tomography

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