Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis

Ehsan Dehghan, Mehdi Moradi, Xu Wen, Danny French, Julio Lobo, W. James Morris, Septimiu E. Salcudean, Gabor Fichtinger

Research output: Contribution to journalArticle

Abstract

Purpose: Accurate localization of prostate implants from several C-arm images is necessary for ultrasound-fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis-based reconstruction that enables 3D localization of prostate implants from C-arm images despite C-arm oscillation and sagging. Methods: Five C-arm images are captured by rotating the C-arm around its primary axis, while measuring its rotation angle using a protractor or the C-arm joint encoder. The C-arm images are processed to obtain binary seed-only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C-arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C-arm full pose tracking traditionally implemented using radio-opaque fiducials or external trackers. The proposed reconstruction method is tested in simulations, in a phantom study and on ten patient data sets. Results: In a phantom implanted with 136 dummy seeds, the seed detection rate was 100% with a localization error of 0.86 ± 0.44 mm (Mean ± STD) compared to CT. For patient data sets, a detection rate of 99.5% was achieved in approximately 1 min per patient. The reconstruction results for patient data sets were compared against an available matching-based reconstruction method and showed relative localization difference of 0.5 ± 0.4 mm. Conclusions: The motion compensation method can successfully compensate for large C-arm motion without using radio-opaque fiducial or external trackers. Considering the efficacy of the algorithm, its successful reconstruction rate and low computational burden, the algorithm is feasible for clinical use.

Original languageEnglish (US)
Pages (from-to)5290-5302
Number of pages13
JournalMedical Physics
Volume38
Issue number10
DOIs
StatePublished - Oct 2011
Externally publishedYes

Fingerprint

Prostate
Seeds
Fluoroscopy
Sexually Transmitted Diseases
Joints
Datasets
Radio-Opaque acrylic resin

Keywords

  • brachytherapy
  • C-arm
  • motion compensation
  • seed reconstruction
  • tomosynthesis

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

Dehghan, E., Moradi, M., Wen, X., French, D., Lobo, J., Morris, W. J., ... Fichtinger, G. (2011). Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. Medical Physics, 38(10), 5290-5302. https://doi.org/10.1118/1.3633897

Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. / Dehghan, Ehsan; Moradi, Mehdi; Wen, Xu; French, Danny; Lobo, Julio; Morris, W. James; Salcudean, Septimiu E.; Fichtinger, Gabor.

In: Medical Physics, Vol. 38, No. 10, 10.2011, p. 5290-5302.

Research output: Contribution to journalArticle

Dehghan, E, Moradi, M, Wen, X, French, D, Lobo, J, Morris, WJ, Salcudean, SE & Fichtinger, G 2011, 'Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis', Medical Physics, vol. 38, no. 10, pp. 5290-5302. https://doi.org/10.1118/1.3633897
Dehghan E, Moradi M, Wen X, French D, Lobo J, Morris WJ et al. Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. Medical Physics. 2011 Oct;38(10):5290-5302. https://doi.org/10.1118/1.3633897
Dehghan, Ehsan ; Moradi, Mehdi ; Wen, Xu ; French, Danny ; Lobo, Julio ; Morris, W. James ; Salcudean, Septimiu E. ; Fichtinger, Gabor. / Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. In: Medical Physics. 2011 ; Vol. 38, No. 10. pp. 5290-5302.
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abstract = "Purpose: Accurate localization of prostate implants from several C-arm images is necessary for ultrasound-fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis-based reconstruction that enables 3D localization of prostate implants from C-arm images despite C-arm oscillation and sagging. Methods: Five C-arm images are captured by rotating the C-arm around its primary axis, while measuring its rotation angle using a protractor or the C-arm joint encoder. The C-arm images are processed to obtain binary seed-only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C-arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C-arm full pose tracking traditionally implemented using radio-opaque fiducials or external trackers. The proposed reconstruction method is tested in simulations, in a phantom study and on ten patient data sets. Results: In a phantom implanted with 136 dummy seeds, the seed detection rate was 100{\%} with a localization error of 0.86 ± 0.44 mm (Mean ± STD) compared to CT. For patient data sets, a detection rate of 99.5{\%} was achieved in approximately 1 min per patient. The reconstruction results for patient data sets were compared against an available matching-based reconstruction method and showed relative localization difference of 0.5 ± 0.4 mm. Conclusions: The motion compensation method can successfully compensate for large C-arm motion without using radio-opaque fiducial or external trackers. Considering the efficacy of the algorithm, its successful reconstruction rate and low computational burden, the algorithm is feasible for clinical use.",
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