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Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.

Publication ,  Journal Article
Vergalasova, I; Cai, J; Giles, W; Segars, WP; Yin, FF
Published in: Phys Med Biol
October 21, 2013

A novel technique based on Fourier transform theory has been developed that directly extracts respiratory information from projections without the use of external surrogates. While the feasibility has been demonstrated with three patients, a more extensive validation is necessary. Therefore, the purpose of this work is to investigate the effects of a variety of respiratory and anatomical scenarios on the performance of the technique with the 4D digital extended cardiac torso phantom. FT-phase and FT-magnitude methods were each applied to identify peak-inspiration projections and quantitatively compared to the gold standard of visual identification. Both methods proved to be robust across the studied scenarios with average differences in respiratory phase <10% and percentage of projections assigned within 10% of the gold standard >90%, when incorporating minor modifications to region-of-interest (ROI) selection and/or low-frequency location for select cases of DA and lung percentage in the field of view of the projection. Nevertheless, in the instance where one method initially faltered, the other method prevailed and successfully identified peak-inspiration projections. This is promising because it suggests that the two methods provide complementary information to each other. To ensure appropriate clinical adaptation of markerless, self-sorted four-dimensional cone-beam CT (4D-CBCT), perhaps an optimal integration of the two methods can be developed.

Duke Scholars

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

October 21, 2013

Volume

58

Issue

20

Start / End Page

7239 / 7259

Location

England

Related Subject Headings

  • Signal-To-Noise Ratio
  • Respiratory-Gated Imaging Techniques
  • Respiration
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Neoplasms
  • Movement
  • Middle Aged
  • Male
  • Image Processing, Computer-Assisted
 

Citation

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MLA
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Vergalasova, I., Cai, J., Giles, W., Segars, W. P., & Yin, F. F. (2013). Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT. Phys Med Biol, 58(20), 7239–7259. https://doi.org/10.1088/0031-9155/58/20/7239
Vergalasova, I., J. Cai, W. Giles, W. P. Segars, and F. F. Yin. “Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.Phys Med Biol 58, no. 20 (October 21, 2013): 7239–59. https://doi.org/10.1088/0031-9155/58/20/7239.
Vergalasova I, Cai J, Giles W, Segars WP, Yin FF. Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT. Phys Med Biol. 2013 Oct 21;58(20):7239–59.
Vergalasova, I., et al. “Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.Phys Med Biol, vol. 58, no. 20, Oct. 2013, pp. 7239–59. Pubmed, doi:10.1088/0031-9155/58/20/7239.
Vergalasova I, Cai J, Giles W, Segars WP, Yin FF. Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT. Phys Med Biol. 2013 Oct 21;58(20):7239–7259.
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

October 21, 2013

Volume

58

Issue

20

Start / End Page

7239 / 7259

Location

England

Related Subject Headings

  • Signal-To-Noise Ratio
  • Respiratory-Gated Imaging Techniques
  • Respiration
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Neoplasms
  • Movement
  • Middle Aged
  • Male
  • Image Processing, Computer-Assisted