A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images

Hari Sundar, Ali Khamene, Chenyang Xu, Frank Sauer, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a novel and fast way to perform 2D-3D registration between available intra-operative 2D images with pre-operative 3D images in order to provide better image-guidance. The current work is a feature based registration algorithm that allows the similarity to be evaluated in a very efficient and faster manner than that of intensity based approaches. The current approach is focused on solving the problem for neuro-interventional applications and therefore we use blood vessels, and specifically their centerlines as the features for registration. The blood vessels are segmented from the 3D datasets and their centerline is extracted using a sequential topological thinning algorithm. Segmentation of the 3D datasets is straightforward because of the injection of contrast agents. For the 2D image, segmentation of the blood vessel is performed by subtracting the image with no contrast (native) from the one with a contrast injection (fill). Following this we compute a modified version of the 2D distance transform. The modified distance transform is computed such that distance is zero on the centerline and increases as we move away from the centerline. This allows us a smooth metric that is minimal at the centerline and large as we move away from the vessel. This is a one time computation, and need not be reevaluated during the iterations. Also we simply sum over all the points rather than evaluating distances over all point pairs as would be done for similar Iterative Closest Point (ICP) based approaches. We estimate the three rotational and three translational parameters by minimizing this cost over all points in the 3D centerline. The speed improvement allows us to perform the registration in under a second on current workstations and therefore provides interactive registration for the interventionalist.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationVisualization, Image-Guided Procedures, and Display
DOIs
StatePublished - Jun 30 2006
EventMedical Imaging 2006: Visualization, Image-Guided Procedures, and Display - San Diego, CA, United States
Duration: Feb 12 2006Feb 14 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6141
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2006: Visualization, Image-Guided Procedures, and Display
CountryUnited States
CitySan Diego, CA
Period2/12/062/14/06

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Keywords

  • 2D/3D Registration
  • Centerline Extraction
  • Distance Transform
  • Iterative closest point
  • Projective Registration
  • Similarity Measures

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Sundar, H., Khamene, A., Xu, C., Sauer, F., & Davatzikos, C. (2006). A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images. In Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display [61412K] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6141). https://doi.org/10.1117/12.654251