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Required Accuracy of MR-US Registration for Prostate Biopsies

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Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions (Prostate Cancer Imaging 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6963))

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Abstract

MR to TRUS guided biopsies can be a cost-effective solution for prostate biopsies. Prostate cancer can be detected on MRI and a biopsy can be directed towards a suspicious region. With the help of an accurate MR-US registration method the tumor can also be targeted under transrectal US guidance. For heterogeneous tumors, the needle should be guided towards the most aggressive part of the tumor. Not the tumor size, but the size of this smaller tumor hotspot determines the required accuracy of the registration. We investigate the percentage of tumors that are heterogeneous and the corresponding hotspot volume. Results show a hotspot in 63% of the tumors, with a median volume of 0.3 cm3. By assuming a spherical shape, the required accuracy can be determined. For a 90% tumor hit-rate, the registration error should be less than 2.87 mm.

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Authors and Affiliations

  1. Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands

    Wendy J. M. van de Ven, Geert J. S. Litjens, Jelle O. Barentsz, Thomas Hambrock & Henkjan J. Huisman

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  1. Wendy J. M. van de Ven
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  2. Geert J. S. Litjens
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  3. Jelle O. Barentsz
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  4. Thomas Hambrock
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  5. Henkjan J. Huisman
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Editor information

Editors and Affiliations

  1. Rutgers University, 08854, Piscataway, NJ, USA

    Anant Madabhushi

  2. CSIRO Australian e-Health Research Centre, 4029, Herston, QLD, Australia

    Jason Dowling

  3. Diagnostic Image Analysis Group, 6525, Nijmegen, HK, The Netherlands

    Henkjan Huisman

  4. University College London, WC1E 6BT, London, UK

    Dean Barratt

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© 2011 Springer-Verlag Berlin Heidelberg

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van de Ven, W.J.M., Litjens, G.J.S., Barentsz, J.O., Hambrock, T., Huisman, H.J. (2011). Required Accuracy of MR-US Registration for Prostate Biopsies. In: Madabhushi, A., Dowling, J., Huisman, H., Barratt, D. (eds) Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions. Prostate Cancer Imaging 2011. Lecture Notes in Computer Science, vol 6963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23944-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-23944-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23943-4

  • Online ISBN: 978-3-642-23944-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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