Approximate Volumetric Reconstruction from Projected Images (original) (raw)

Abstract

A significant problem in planning of volumetrically prescribed localized treatments is the mathematical impossibility to determine the exact three dimensional shape and volume of a target object from its projected images. Reconstruction accuracy also varies with viewing angle, depending on the convexity and aspect ratios of the target object. In response to this problem, we are developing a robust and efficient technique for approximate volumetric reconstruction, which (A) uses no prior information of the shape and volume of the target, (B) does not require exact silhouettes, (C) accepts arbitrary number of images, (D) produces solid object and measure of its volume, (E) provides confidence measure of the reconstruction and drawing of silhouettes, (F) is robust, fast and easy to implement. Preliminary tests suggest that fairly convex objects can be reconstructed from four views, and typically six views with table rotation allow us to reconstruct fine details as small as 1 mm. The method is applicable for any X-ray guided volumetric treatment. Pilot applications will be planning of radiosurgery of arterioveneous malformations (AVMs) and radiofrequency ablation of soft tissue lesions.

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Authors and Affiliations

  1. Center for Computer Integrated Surgical Systems and Technologies, Johns Hopkins University, Baltimore, MD, 21218, 3400 N. Charles St, New Engineering Bldg B26
    Gabor Fichtinger, Sheng Xu & Attila Tanacs
  2. Department of Radiology, Johns Hopkins University Hospital, Baltimore, MD
    Kieran Murphy
  3. Department of Radiation Oncology, Johns Hopkins University Hospital, Baltimore, MD
    Lee Myers
  4. Department of Neurosurgery, Johns Hopkins University Hospital, Baltimore, MD
    Jeffery Williams

Authors

  1. Gabor Fichtinger
  2. Sheng Xu
  3. Attila Tanacs
  4. Kieran Murphy
  5. Lee Myers
  6. Jeffery Williams

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Fichtinger, G., Xu, S., Tanacs, A., Murphy, K., Myers, L., Williams, J. (2001). Approximate Volumetric Reconstruction from Projected Images. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_235

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