Motion-guided resolution enhancement for Lung 4D-CT

Arnav Bhavsar, Guorong Wu, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Lung 4D-CT provides important anatomical structure and motion information, which can be crucial in radiation therapy for lung cancer. However, radiation dose concerns limit the number of axial slices in 4D-CT, resulting in low superior-inferior resolution. We propose an approach to estimate the intermediate slices for resolution enhancement of 4D-CT. We explore the lung-motion-induced locally complimentary sampling information across respiratory phases, by using the deformation fields between 3D phase-volumes. For better robustness to noise and registration errors, we estimate the unknown intermediate slices in a patch-wise manner. To this end, we compute candidate patches from the available slices in different phases, based on the deformation field estimates. We then linearly combine the candidate patches, using weights computed by solving an h minimization problem. Unlike state-of-the-art methods, our deformation-driven patch-based approach requires a small number of inter-phase candidate patches, and yet outperforms these methods. This highlights the usefulness of considering deformation information in resolution enhancement of lung 4D-CT.

Original languageEnglish
Title of host publication2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-339
Number of pages6
ISBN (Print)9781479951994
DOIs
Publication statusPublished - 1997 Mar 19
Externally publishedYes
Event2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 - Singapore, Singapore
Duration: 2014 Dec 102014 Dec 12

Other

Other2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
CountrySingapore
CitySingapore
Period14/12/1014/12/12

Fingerprint

Radiotherapy
Dosimetry
Sampling

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Bhavsar, A., Wu, G., & Shen, D. (1997). Motion-guided resolution enhancement for Lung 4D-CT. In 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 (pp. 334-339). [7064328] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2014.7064328

Motion-guided resolution enhancement for Lung 4D-CT. / Bhavsar, Arnav; Wu, Guorong; Shen, Dinggang.

2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014. Institute of Electrical and Electronics Engineers Inc., 1997. p. 334-339 7064328.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bhavsar, A, Wu, G & Shen, D 1997, Motion-guided resolution enhancement for Lung 4D-CT. in 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014., 7064328, Institute of Electrical and Electronics Engineers Inc., pp. 334-339, 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014, Singapore, Singapore, 14/12/10. https://doi.org/10.1109/ICARCV.2014.7064328
Bhavsar A, Wu G, Shen D. Motion-guided resolution enhancement for Lung 4D-CT. In 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014. Institute of Electrical and Electronics Engineers Inc. 1997. p. 334-339. 7064328 https://doi.org/10.1109/ICARCV.2014.7064328
Bhavsar, Arnav ; Wu, Guorong ; Shen, Dinggang. / Motion-guided resolution enhancement for Lung 4D-CT. 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014. Institute of Electrical and Electronics Engineers Inc., 1997. pp. 334-339
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