+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

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



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



Medical Physics 35(12): 5575-5583



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.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 055286238

Download citation: RISBibTeXText

PMID: 19175115

DOI: 10.1118/1.3005633


Related references

Tracking lung tissue motion and expansion/compression with inverse consistent image registration and spirometry. Medical Physics 34(6): 2155-2163, 2007

Nonrigid registration with free-form deformation model of multilevel uniform cubic B-splines: application to image registration and distortion correction of spectral image cubes. Applied Optics 53(17): 3764-3772, 2014

Large deformation inverse consistent elastic image registration. Information Processing in Medical Imaging 18: 438-449, 2004

A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images. Physics in Medicine and Biology 62(11): 4273-4292, 2017

Tissue tracking and registration for image-guided surgery. IEEE Transactions on Medical Imaging 31(11): 2169-2182, 2014

Selective image similarity measure for bronchoscope tracking based on image registration. Medical Image Analysis 13(4): 621-633, 2009

Real-time 2D/3D registration using kV-MV image pairs for tumor motion tracking in image guided radiotherapy. Acta Oncologica 52(7): 1464-1471, 2014

Reproducibility of macular thickness measurement among five OCT instruments: effects of image resolution, image registration, and eye tracking. Ophthalmic Surgery, Lasers and Imaging 43(2): 97-108, 2012

Large deformation three-dimensional image registration in image-guided radiation therapy. Physics in Medicine and Biology 50(24): 5869-5892, 2005

A New Image Similarity Metric for Improving Deformation Consistency in Graph Based Groupwise Image Registration. IEEE Transactions on Bio-Medical Engineering 2018, 2018

Tracking regional tissue volume and function change in lung using image registration. International Journal of Biomedical Imaging 2012: 956248, 2012

Nonlinear spatial warping for between-subjects pedobarographic image registration. Gait and Posture 29(3): 477-482, 2009

Dose warping performance in deformable image registration in lung. Physica Medica 37: 16-23, 2018

Registration and Summation of Respiratory-Gated or Breath-Hold PET Images Based on Deformation Estimation of Lung from CT Image. Computational and Mathematical Methods in Medicine 2016: 9713280, 2017

Assessment of regional non-linear tissue deformation and air volume change of human lungs via image registration. Journal of Biomechanics 47(7): 1626-1633, 2014