title: Evaluation of advanced Lukas-Kanade optical flow on thoracic 4D-CT.
abstract: Extensive use of high frequency imaging in medical applications permit the estimation of velocity fields which corresponds to motion of landmarks in the imaging field. The focus of this work is on the development of a robust local optical flow algorithm for velocity field estimation in medical applications. Local polynomial fits to the medical image intensity-maps are used to generate convolution operators to estimate the spatial gradients. A novel polynomial window function with a compact support is used to differentially weight the optical flow gradient constraints in the region of interest. Tikhonov regularization is exploited to synthesize a well posed optimization problem and to penalize large displacements. The proposed algorithm is tested and validated on benchmark datasets for deformable image registration. The ten datasets include large and small deformations, and illustrate that the proposed algorithm outperforms or is competitive with other algorithms tested on this dataset, when using mean and variance of the displacement error as performance metrics.
authors.affiliation: Department of Mechanical and Aerospace Engineering, SUNY at Buffalo, Buffalo, NY 14260, USA. choogant@buffalo.edu
authors.forename: Christoph Bernhard
authors.initials: CB
authors.lastname: Hoog Antink
authors.forename: Tarunraj
authors.initials: T
authors.lastname: Singh
authors.forename: Puneet
authors.initials: P
authors.lastname: Singla
authors.forename: Matthew
authors.initials: M
authors.lastname: Podgorsak
mesh_terms: D000465:Algorithms; D056973:Four-Dimensional Computed Tomography / Q000379:methods*; D006801:Humans; D016011:Normal Distribution; D055095:Optics and Photonics; D010363:Pattern Recognition, Automated / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted; D013902:Radiography, Thoracic / Q000379:methods; D015203:Reproducibility of Results
references.citation: Phys Med Biol. 2009 Apr 7;54(7):1849-70
references.pmid: 19265208
references.citation: Phys Med Biol. 2010 Jan 7;55(1):207-19
references.pmid: 20009197
references.citation: IEEE Trans Med Imaging. 2001 Jul;20(7):568-82
references.pmid: 11465464
references.citation: Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4465-8
references.pmid: 17281228
references.citation: IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):174-81
references.pmid: 16445262
references.citation: IEEE Trans Med Imaging. 2011 Nov;30(11):1901-20
references.pmid: 21632295
references.citation: Phys Med Biol. 2010 Jan 7;55(1):305-27
references.pmid: 20009196
references.citation: Med Phys. 2008 Jan;35(1):81-8
references.pmid: 18293565
references.citation: Med Phys. 2008 Oct;35(10):4577-90
references.pmid: 18975704
references.citation: J Magn Reson Imaging. 1998 Nov-Dec;8(6):1306-18
references.pmid: 9848743