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Medical Physics / Volume 35 / Issue 12 / RADIATION IMAGING PHYSICS

Med. Phys. 35, 5575 (2008); doi:10.1118/1.3005633 (9 pages)

Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3D consistent image registration

Baojun Li

Applied Science Laboratory, General Electric Healthcare, Waukesha, Wisconsin 53188

Gary E. Christensen

Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa 52242

Eric A. Hoffman

Department of Radiology, The University of Iowa, Iowa City, Iowa 52242

Geoffrey McLennan

Department of Internal Medicine, The University of Iowa, Iowa City, Iowa 52242

Joseph M. Reinhardt

Department of Biomedical Engineering, The University of Iowa, Iowa City, Iowa 52242

(Received 6 May 2008; accepted 1 October 2008; revised 4 September 2008; published online 14 November 2008)

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Tracking lung tissues during the respiratory cycle has been a challenging task for diagnostic CT and CT-guided radiotherapy. We propose an intensity- and landmark-based image registration algorithm to perform image registration and warping of 3D pulmonary CT image data sets, based on consistency constraints and matching corresponding airway branchpoints. In this paper, we demonstrate the effectivenss and accuracy of this algorithm in tracking lung tissues by both animal and human data sets. In the animal study, the result showed a tracking accuracy of 1.9 mm between 50% functional residual capacity (FRC) and 85% total lung capacity (TLC) for 12 metal seeds implanted in the lungs of a breathing sheep under precise volume control using a pulmonary ventilator. Visual inspection of the human subject results revealed the algorithm’s potential not only in matching the global shapes, but also in registering the internal structures (e.g., oblique lobe fissures, pulmonary artery branches, etc.). These results suggest that our algorithm has significant potential for warping and tracking lung tissue deformation with applications in diagnostic CT, CT-guided radiotherapy treatment planning, and therapeutic effect evaluation.

© 2008 American Association of Physicists in Medicine

Permalink
http://dx.doi.org/10.1118/1.3005633

KEYWORDS and PACS

Keywords

computerised tomography, image matching, image registration, lung, medical image processing, pneumodynamics, radiation therapy, radiotherapy, image registration, pulmonary CT, consistency constraints

PACS

PUBLICATION DATA

ISSN:

0094-2405 (print)  

Publisher:

$abstract.society.value is a Member of CrossRef American Association of Physicists in Medicine

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