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Potential of iterative reconstruction for maxillofacial cone beam CT imaging: technical note

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Abstract

Iterative reconstruction has been proven to be an effective tool for low-dose computed tomography imaging. However, this technology is currently not available in commercial diagnostic maxillofacial cone beam CT. For this technical note, an iterative reconstruction technique was applied to cone beam CT raw data of two maxillofacial clinical cases to explore its potential for dose reduction and metal artifact reduction. Low-dose imaging was emulated by using only fractions of the clinical projection dataset. The reconstruction algorithms tested were filtered backprojection (FBP) as a reference method, and a total variation minimization (TV) regularized ordered subsets convex (OSC-TV) method as the iterative technique. Upon qualitative examination, the OSC-TV technique was found to conserve most diagnostic information using half the projections. Test images have also shown that at 1/4 of the projections, OSC-TV was more robust than FBP with respect to streaking and metal artifacts.

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References

  1. Vos WD, Casselman J, Swennen G (2009) Cone-beam computerized tomography (CBCT) imaging of the oral and maxillofacial region: a systematic review of the literature. International Journal of Oral and Maxillofacial Surgery 38(6):609–625 http://www.sciencedirect.com/science/article/pii/S0901502709008649

    Article  Google Scholar 

  2. Casselman J, Gieraerts K, Volders D, Delanote J, Mermuys K, Foer B, Swennen G (2013) Cone beam CT: non-dental applications. Journal of the Belgian Society of Radiology 96(6). https://www.jbsr.be/articles/abstract/10.5334/jbr-btr.453/

  3. Scarfe WC (2012) A comparison of maxillofacial CBCT and medical CT. Atlas of the Oral and Maxillofacial Surgery Clinics of North America: Digital Technologies in Oral and Maxillofacial Surgery 20(1):1. https://doi.org/10.1016/j.cxom.2011.12.008

  4. Schulze R, Heil U, Gross D, Bruellmann DD, Dranischnikow E, Schwanecke U, Schoemer E (2011) Artefacts in CBCT: a review. Dentomaxillofacial Radiology 40(5):265–273. https://doi.org/10.1259/dmfr/30642039

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Després P, Jia X (2017) A review of GPU-based medical image reconstruction. Physica Medica 42:76–92. https://doi.org/10.1016/J.EJMP.2017.07.024http://www.sciencedirect.com/science/article/pii/S1120179717302417

    Article  PubMed  Google Scholar 

  6. Matenine D, Schmittbuhl M, Bedwani S, Després P, de Guise JA (2019) Iterative reconstruction for image enhancement and dose reduction in diagnostic cone beam CT imaging. Journal of X-ray Science and Technology. https://doi.org/10.3233/XST-190523https://content.iospress.com/articles/journal-of-x-ray-science-and-technology/xst190523

  7. Pauwels R, Araki K, Siewerdsen JH, Thongvigitmanee SS (2015) Technical aspects of dental CBCT: state of the art. Dentomaxillofacial Radiology 44(1):20140224 https://doi.org/10.1259/dmfr.20140224

    Article  CAS  Google Scholar 

  8. Matenine D, Goussard Y, Després P (2015) GPU-accelerated regularized iterative reconstruction for few-view cone beam CT. Medical Physics 42(4):1505–1517. https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.4914143

  9. Mao B, Xiao D, Xiong X, Chen X, Zhang W, Kang Y (2013) Denoising low dose CT images via 3D total variation using CUDA. In: 2013 IEEE International Conference on Medical Imaging Physics and Engineering, pp 47–50, doi: https://doi.org/10.1109/ICMIPE.2013.6864501

  10. Rit S, Oliva MV, Brousmiche S, Labarbe R, Sarrut D, Sharp GC (2014) The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK). Journal of Physics: Conference Series 489(1):12079. https://iopscience.iop.org/article/10.1088/1742-6596/489/1/012079

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Acknowledgments

The authors would like to thank Useful Progress Services Inc. (Montreal, QC) and its founder Francis Siguenza for financially supporting the Mitacs Program.

Funding

This work was partly financially supported by Mitacs through the Mitacs Accelerate program (grant number IT10589) and by Canada Research Chairs.

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Authors and Affiliations

  1. Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre hospitalier de l’Université de Montréal, 900 St-Denis, Montréal, QC, H2X 0A9, Canada

    Dmitri Matenine, Jacques A. de Guise & Matthieu Schmittbuhl

  2. Département de génie des systèmes, École de technologie supérieure, Montréal, QC, H3C 1K3, Canada

    Dmitri Matenine & Jacques A. de Guise

  3. German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany

    Marc Kachelriess

  4. Ruprecht-Karls-University Heidelberg, Im Neuenheimer Feld 672, 69120, Heidelberg, Germany

    Marc Kachelriess

  5. Département de physique, de génie physique et d’optique and Centre de recherche sur le cancer, Université Laval, Québec, QC, G1V 0A6, Canada

    Philippe Després

  6. Département de radio-oncologie, Centre de recherche du CHU de Québec, Québec, QC, G1R 2J6, Canada

    Philippe Després

  7. Faculté de médecine dentaire, Université de Montréal, Montréal, QC, H3T 1J4, Canada

    Matthieu Schmittbuhl

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  1. Dmitri Matenine
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  2. Marc Kachelriess
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  3. Philippe Després
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  4. Jacques A. de Guise
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  5. Matthieu Schmittbuhl
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Correspondence to Dmitri Matenine.

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Conflicts of interest

Dmitri Matenine is a part-time employee of Useful Progress Services Inc. (Montreal, QC).

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study, formal consent is not required.

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Matenine, D., Kachelriess, M., Després, P. et al. Potential of iterative reconstruction for maxillofacial cone beam CT imaging: technical note. Neuroradiology 62, 1511–1514 (2020). https://doi.org/10.1007/s00234-020-02467-z

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  • DOI: https://doi.org/10.1007/s00234-020-02467-z

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