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Extra-dimensional Demons: a method for incorporating missing tissue in deformable image registration.

Sajendra Nithiananthan1, Sebastian Schafer, Daniel J Mirota

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.

Medical Physics
|September 11, 2012
PubMed
Summary
This summary is machine-generated.

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A novel extra-dimensional Demons (XDD) method accurately registers medical images with missing tissue, crucial for image-guided surgery. This technique improves accuracy around excisions without compromising overall image registration quality.

Area of Science:

  • Medical imaging
  • Image registration
  • Surgical guidance

Background:

  • Deformable registration is essential for image-guided surgery.
  • Accurately accounting for missing tissue, such as during surgical excisions, remains a challenge.
  • Existing methods can introduce distortions around excised regions.

Purpose of the Study:

  • To develop and evaluate a deformable registration method that accounts for missing tissue.
  • To integrate simultaneous segmentation of excised tissue into the registration process.
  • To improve the accuracy and reliability of image registration in procedures involving tissue excision.

Main Methods:

  • A modified Demons deformable registration algorithm, termed extra-dimensional Demons (XDD), was developed.

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  • Excision segmentation was performed iteratively, assigning an excision probability to each voxel.
  • The deformation field's dimensionality was increased to model both tissue deformation and excision (out-of-volume motion).

    • Main Results:

    • XDD improved registration accuracy (NMI) in regions near excisions compared to conventional Demons.
    • XDD accurately ejected voxels within excision sites, preventing unrealistic distortions seen with conventional methods.
    • XDD demonstrated robustness to varying excision sizes, unlike conventional Demons which degraded steeply.

    Conclusions:

    • The extra-dimensional Demons approach accurately accommodates missing tissue by incorporating segmentation and an additional deformation dimension.
    • XDD achieves accurate "ejection" of excised tissue while preserving high registration accuracy elsewhere.
    • This method is vital for cone-beam CT (CBCT)-guided surgery, particularly in skull base procedures, and has broader applications.