Automated 4-D lung computed tomography reconstruction during free breathing for conformal radiation therapy

Issam M. El Naqa, Daniel A. Low, Gary Christensen, Parag J. Parikh, Joo Hyun Song, Michelle M. Nystrom, Wei Lu, Joseph O. Deasy, James P. Hubenschmidt, Sasha H. Wahab, Sasa Mutic, Anurag K. Singh, Jeffrey D. Bradley

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

We are developing 4D-CT to provide breathing motion information (trajectories) for radiation therapy treatment planning of lung cancer. Potential applications include optimization of intensity-modulated beams in the presence of breathing motion and intra-fraction target volume margin determination for conformai therapy. The images are acquired using a multi-slice CT scanner while the patient undergoes simultaneous quantitative spirometry. At each couch position, the CT scanner is operated in ciné mode and acquires up to IS scans of 12 slices each. Each CT scan is associated with the measured tidal volume for retrospective reconstruction of 3D CT scans at arbitrary tidal volumes. The specific tasks of this project involves the development of automated registration of internal organ motion (trajectories) during breathing. A modified least-squares based optical flow algorithm tracks specific features of interest by modifying the eigenvalues of gradient matrix (gradient structural tensor). Good correlations between the measured motion and spirometry-based tidal volume are observed and evidence of internal hysteresis is also detected.

Original languageEnglish
Pages (from-to)100-106
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5369
DOIs
StatePublished - Jul 5 2004
EventMedical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 15 2004Feb 17 2004

Keywords

  • Computed tomography reconstruction
  • Image registration
  • Spirometry

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