Marker-Less Reconstruction of Dense 4-D Surface Motion Fields Using Active Laser Triangulation for Respiratory Motion Management
To manage respiratory motion in image-guided interventions a novel sparse-to-dense registration approach is presented. We apply an emerging laser-based active triangulation (AT) sensor that delivers sparse but highly accurate 3-D measurements in real-time. These sparse position measurements are registered with a dense reference surface extracted from planning data. Thereby a dense displacement field is reconstructed which describes the 4-D deformation of the complete patient body surface and recovers a multi-dimensional respiratory signal for application in respiratory motion management. The method is validated on real data from an AT prototype and synthetic data sampled from dense surface scans acquired with a structured light scanner. In a study on 16 subjects, the proposed algorithm achieved a mean reconstruction accuracy of ±0.22 mm w.r.t. ground truth data.
Unable to display preview. Download preview PDF.
- 3.Willoughby, T.R., Forbes, A.R., Buchholz, D., Langen, K.M., Wagner, T.H., Zeidan, O.A., Kupelian, P.A., Meeks, S.L.: Evaluation of an infrared camera and X-ray system using implanted fiducials in patients with lung tumors for gated radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 66(2), 568–575 (2006)CrossRefGoogle Scholar
- 9.Bauer, S., Berkels, B., Hornegger, J., Rumpf, M.: Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy. In: Bruckstein, A.M., ter Haar Romeny, B.M., Bronstein, A.M., Bronstein, M.M. (eds.) SSVM 2011. LNCS, vol. 6667, pp. 98–109. Springer, Heidelberg (2012)CrossRefGoogle Scholar