Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy

Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang

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

Abstract

We have developed an algorithm for real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image. We first parameterize the deformation vector fields (DVF) of lung motion by principal component analysis (PCA). Then we optimize the DVF applied to a reference image by adapting the PCA coefficients such that the simulated projection of the reconstructed image matches the measured projection. The algorithm was tested on a digital phantom as well as patient data. The average relative image reconstruction error and 3D tumor localization error for the phantom is 7.5% and 0.9 mm, respectively. The tumor localization error for patient is ~2 mm. The computation time of reconstructing one volumetric image from each projection is around 0.2 and 0.3 seconds for phantom and patient, respectively, on an NVIDIA C1060 GPU. Clinical application can potentially lead to accurate 3D tumor tracking from a single imager.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages449-456
Number of pages8
Volume6363 LNCS
EditionPART 3
DOIs
StatePublished - 2010
Event13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China
Duration: Sep 20 2010Sep 24 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6363 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
CountryChina
CityBeijing
Period9/20/109/24/10

Fingerprint

Radiotherapy
Lung Cancer
Image Reconstruction
Image reconstruction
Tumors
Tumor
Phantom
Projection
Principal component analysis
Principal Component Analysis
Vector Field
Parameterise
Imager
Lung
Image sensors
Optimise
Real-time
X rays
Motion
Coefficient

Keywords

  • GPU
  • image reconstruction
  • lung cancer radiotherapy
  • lung motion
  • tumor localization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Li, R., Jia, X., Lewis, J. H., Gu, X., Folkerts, M., Men, C., & Jiang, S. B. (2010). Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 6363 LNCS, pp. 449-456). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6363 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-15711-0_56

Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy. / Li, Ruijiang; Jia, Xun; Lewis, John H.; Gu, Xuejun; Folkerts, Michael; Men, Chunhua; Jiang, Steve B.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6363 LNCS PART 3. ed. 2010. p. 449-456 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6363 LNCS, No. PART 3).

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

Li, R, Jia, X, Lewis, JH, Gu, X, Folkerts, M, Men, C & Jiang, SB 2010, Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 6363 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6363 LNCS, pp. 449-456, 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 9/20/10. https://doi.org/10.1007/978-3-642-15711-0_56
Li R, Jia X, Lewis JH, Gu X, Folkerts M, Men C et al. Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 6363 LNCS. 2010. p. 449-456. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-15711-0_56
Li, Ruijiang ; Jia, Xun ; Lewis, John H. ; Gu, Xuejun ; Folkerts, Michael ; Men, Chunhua ; Jiang, Steve B. / Single-projection based volumetric image reconstruction and 3D tumor localization in real time for lung cancer radiotherapy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6363 LNCS PART 3. ed. 2010. pp. 449-456 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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