MICCAI 2005: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 pp 631-638 | Cite as
Fully Truncated Cone-Beam Reconstruction on Pi Lines Using Prior CT
Abstract
C-arms are well suited for obtaining cone-beam projections intra-operatively. Due to the compact size of the detector used, the data are usually truncated within the field of view. As a result, direct application of a standard cone-beam reconstruction algorithm gives rise to undesirable artifacts and incorrect values in the reconstructed image volume. When prior information such as a pre-operative CT scan is available, fully truncated cone-beam projections can be used to recover the change within a small region of interest without such artifacts. A method for integrating prior CT is developed using the concept of pi-lines and tested on real flat-panel and simulated cone-beam data.
Keywords
Interior Problem Undesirable Artifact Source Path Virtual Detector Source TrajectoryReferences
- 1.Feldkamp, L.A., Davis, L.C., Kress, J.W.: Practical cone-beam algorithm. Optical Society of America 1(6) (1984)Google Scholar
- 2.Zou, Y., Pan, X., Sidky, E.Y.: Image reconstruction in regions-of-interest from truncated projections in a reduced fan-beam scan. Physics in Medicine and Biology 50, 13–27 (2004)CrossRefGoogle Scholar
- 3.Noo, F., Clackdoyle, R., Pack, J.D.: A two-step hilbert transform method for 2D image reconstruction. Physics in Medicine and Biology 49, 3903–3923 (2004)CrossRefGoogle Scholar
- 4.Pack, J.D., Noo, F., Clackdoyle, R.: Cone-beam reconstruction using the backprojection of locally filtered projections. IEEE Transactions on Medical Imaging 24(1), 70–85 (2005)CrossRefGoogle Scholar
- 5.Zhuang, T., Leng, S., Nett, B.E., Chen, G.: Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data. Physics in Medicine and Biology 49, 5489–5503 (2004)CrossRefGoogle Scholar
- 6.Natterer, F.: The mathematics of computerized tomography. Wiley, New York (1986)MATHGoogle Scholar
- 7.Tuy, H.K.: An inversion formula for cone-beam reconstruction. SIAM Journal of Applied Mathematics 43, 546–552 (1983)CrossRefMathSciNetGoogle Scholar
- 8.Noo, F., Defrise, M., Clackdoyle, R., Kudo, H.: Image reconstruction from fan-beam projections on less than a short-scan. Physics in Medicine and Biology 47, 2525–2546 (2002)CrossRefGoogle Scholar
- 9.Ramamurthi, K., Prince, J.: Tomographic reconstruction for truncated cone beam data using prior CT information. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 134–141. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 10.Noo, F., Heuscher, D.J.: Image reconstruction from cone-beam data on a circular short-scan. SPIE Medical Imaging (February 2002)Google Scholar
- 11.Clackdoyle, R., Noo, F., Guo, J., Roberts, J.A.: Quantitative reconstruction from truncated projections in classical tomography. IEEE Transactions on Nuclear Science 51(5), 2570–2578 (2004)CrossRefGoogle Scholar
- 12.Zou, Y., Pan, X.: Exact image reconsturcion on PI-lines from minumum data in helical cone-beam CT. Physics in Medicine and Biology 49, 941–959 (2004)CrossRefGoogle Scholar