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Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study.

Publication ,  Journal Article
Lewis, JH; Li, R; Watkins, WT; Lawson, JD; Segars, WP; Cerviño, LI; Song, WY; Jiang, SB
Published in: Phys Med Biol
May 7, 2010

Algorithms for direct tumor tracking in rotational cone-beam projections and for reconstruction of phase-binned 3D tumor trajectories were developed. The feasibility of the algorithm was demonstrated on a digital phantom, a physical phantom and two patients. Tracking results were obtained by comparing reference templates generated from 4DCT to rotational cone-beam projections. The 95th percentile absolute errors (e(95)) in phantom tracking results did not exceed 1.7 mm in either imager dimension, while e(95) in the patients was 3.3 mm or less. Accurate phase-binned trajectories were reconstructed in each case, with 3D maximum errors of no more than 1.0 mm in the phantoms and 2.0 mm in the patients. This work shows the feasibility of a direct tumor tracking technique for rotational images, and demonstrates that an accurate 3D tumor trajectory can be reconstructed from relatively less accurate tracking results. The ability to reconstruct the tumor's average trajectory from a 3D cone-beam CT scan on the day of treatment could allow for better patient setup and quality assurance, while direct tumor tracking in rotational projections could be clinically useful for rotational therapy such as volumetric modulated arc therapy (VMAT).

Duke Scholars

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Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

May 7, 2010

Volume

55

Issue

9

Start / End Page

2505 / 2522

Location

England

Related Subject Headings

  • Time Factors
  • Rotation
  • Reference Standards
  • Quality Control
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Movement
  • Lung Neoplasms
  • Image Processing, Computer-Assisted
  • Humans
 

Citation

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Lewis, J. H., Li, R., Watkins, W. T., Lawson, J. D., Segars, W. P., Cerviño, L. I., … Jiang, S. B. (2010). Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study. Phys Med Biol, 55(9), 2505–2522. https://doi.org/10.1088/0031-9155/55/9/006
Lewis, John H., Ruijiang Li, W Tyler Watkins, Joshua D. Lawson, W Paul Segars, Laura I. Cerviño, William Y. Song, and Steve B. Jiang. “Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study.Phys Med Biol 55, no. 9 (May 7, 2010): 2505–22. https://doi.org/10.1088/0031-9155/55/9/006.
Lewis JH, Li R, Watkins WT, Lawson JD, Segars WP, Cerviño LI, et al. Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study. Phys Med Biol. 2010 May 7;55(9):2505–22.
Lewis, John H., et al. “Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study.Phys Med Biol, vol. 55, no. 9, May 2010, pp. 2505–22. Pubmed, doi:10.1088/0031-9155/55/9/006.
Lewis JH, Li R, Watkins WT, Lawson JD, Segars WP, Cerviño LI, Song WY, Jiang SB. Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study. Phys Med Biol. 2010 May 7;55(9):2505–2522.
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

May 7, 2010

Volume

55

Issue

9

Start / End Page

2505 / 2522

Location

England

Related Subject Headings

  • Time Factors
  • Rotation
  • Reference Standards
  • Quality Control
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Movement
  • Lung Neoplasms
  • Image Processing, Computer-Assisted
  • Humans