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A New Approach in Metal Artifact Reduction for CT 3D Reconstruction

  • Conference paper
Bioinspired Applications in Artificial and Natural Computation (IWINAC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5602))

Abstract

The 3D representation of CT scans is widely used in medical application such as virtual endoscopy, plastic reconstructive surgery, dental implant planning systems and more. Metallic objects present in CT studies cause strong artifacts like beam hardening and streaking, what difficult to a large extent the 3D reconstruction. Previous works in this field use projection data in different ways with the aim of artifact reduction. But in DICOM-based applications this information is not available, thus the need for a new point of view regarding this issue. Our aim is to present an exhaustive study of the state of the art and to evaluate a new approach based in mathematical morphology in polar domain in order to reduce the noise but preserving dental structures, valid for real-time applications.

This work has been supported by the project MIRACLE (DPI2007-66782-C03-01-AR07) of Spanish Ministerio de Educación y Ciencia.

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References

  1. Rohlfing, T., Zerfowski, D., Beier, J., Hosten, N., Wust, P., Felix, R.: Reduction of metal artifacts in computed tomographies for planning and simulation of radiation therapy. Computer Assisted Radiology and Surgery, 57–62 (1998)

    Google Scholar 

  2. Watzke, O., Kallender, W.: A pragmatic approach to metal artifact reduction in CT: merging of metal artifact reduced images. European Radiology 14, 849–856 (2004)

    Article  Google Scholar 

  3. Yu, H., Zeng, K., Bharkhada, D., Wang, G., Madsen, M., Saba, O., Policeni, B., Howard, M., Smoker, W.: A segmentation-based method for metal artifact reduction. Academic Radiology 14(4), 495–504 (2007)

    Article  Google Scholar 

  4. Kalender, W., Hebel, R., Ebersberger, J.: Reduction of CT artifacts caused by metallic implants. Radiology 164, 576–577 (1987)

    Article  Google Scholar 

  5. Shiying, Z., Kyongtae, T., Whiting, B., Wang, G.: A wavelet method for metal artifact reduction with multiple metalic objects in the field of view. Journal of X-Ray Science and Technology 10, 67–76 (2002)

    Google Scholar 

  6. Tognola, G., Parazzini, M., Pedretti, G., Ravazzani, P., Grandori, F., Pesatori, A., Norgia, M., Svelto, C.: Novel 3D reconstruction method for mandibular distraction planning. In: International Workshop on Imaging Systems and Techniques, pp. 82–85 (2006)

    Google Scholar 

  7. Sohmura, T., Hojoh, H., Kusumoto, N., Nishida, M., Wakabayashi, K., Takahashi, J.: A novel method of removing artifacts because of metallic dental restorations in 3D CT images of jaw bone. Clinical Oral Implant Research 16, 728–735 (2005)

    Article  Google Scholar 

  8. Wang, G., Snyder, D., O’Sullivan, J., Vannier, M.: Iterative deblurring for CT metal artifact reduction. IEEE Transactions on Medical Imaging 15(5), 657–664 (1996)

    Article  Google Scholar 

  9. Murphy, R., Snyder, D., Politte, D., O’Sullivan, J.: A sieve-regularized image reconstruction algorithm with pose search in transmission tomography. In: SPIE Medical Imaging 2003: Image Processing conference (2003)

    Google Scholar 

  10. Naranjo, V., Albiol, A., Mossi, J., Albiol, A.: Morphological lambda-reconstruction applied to restoration of blotches in old films. In: 4th IASTED International Conference on Visualisation, Imaging and Image Processing (2004)

    Google Scholar 

  11. Serra, J.: Image analysis and mathematical morphology. Academic Press, London (1982)

    MATH  Google Scholar 

  12. Serra, J., Vincent, L.: An overview of morphological filtering. Circuits, Systems, and Signal Processing 11(1), 47–108 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  13. Luengo-Oroz, M., Angulo, J., Flandrin, G., Klossa, J.: Mathematical morphology in polar-logarithmic coordinates. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3523, pp. 199–206. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

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Authors and Affiliations

  1. LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain

    Valery Naranjo, Roberto Llorens, Patricia Paniagua, Mariano Alcañiz & Salvador Albalat

Authors
  1. Valery Naranjo
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  2. Roberto Llorens
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  3. Patricia Paniagua
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  4. Mariano Alcañiz
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  5. Salvador Albalat
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Editor information

Editors and Affiliations

  1. Dapartamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingeniería Informática, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & Félix de la Paz  & 

  2. Departamento de Electrónica, Tecnología de Computadores y Proyectos, Universidad Politécnica de Cartagena,, Pl. Hospital, 1, 30201, Cartagena, Spain

    José Manuel Ferrández

  3. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingeniería Informática, Juan del Rosal, 16, 28040, Madrid, Spain

    José R. Álvarez

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Pl. Hospital, 1, 30201, Cartagena

    F. Javier Toledo

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Naranjo, V., Llorens, R., Paniagua, P., Alcañiz, M., Albalat, S. (2009). A New Approach in Metal Artifact Reduction for CT 3D Reconstruction. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Bioinspired Applications in Artificial and Natural Computation. IWINAC 2009. Lecture Notes in Computer Science, vol 5602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02267-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-02267-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02266-1

  • Online ISBN: 978-3-642-02267-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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