Automatic 2D-3D Registration without Contrast Agent during Neurovascular
Interventions
- URL: http://arxiv.org/abs/2106.15308v1
- Date: Tue, 8 Jun 2021 20:16:04 GMT
- Title: Automatic 2D-3D Registration without Contrast Agent during Neurovascular
Interventions
- Authors: Robert Homan, Ren\'e van Rijsselt, Daniel Ruijters
- Abstract summary: Using live fluoroscopy images with a 3D rotational reconstruction of the vasculature allows to navigate endovascular devices in minimally invasive neuro-vascular treatment.
Image-based registration algorithm relies on gradients in the image (bone structures, sinuses) as landmark features.
The paper establishes a new method for validation of 2D-3D registration without requiring changes to the clinical workflow.
- Score: 0.34376560669160383
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Fusing live fluoroscopy images with a 3D rotational reconstruction of the
vasculature allows to navigate endovascular devices in minimally invasive
neuro-vascular treatment, while reducing the usage of harmful iodine contrast
medium. The alignment of the fluoroscopy images and the 3D reconstruction is
initialized using the sensor information of the X-ray C-arm geometry. Patient
motion is then corrected by an image-based registration algorithm, based on a
gradient difference similarity measure using digital reconstructed radiographs
of the 3D reconstruction. This algorithm does not require the vessels in the
fluoroscopy image to be filled with iodine contrast agent, but rather relies on
gradients in the image (bone structures, sinuses) as landmark features. This
paper investigates the accuracy, robustness and computation time aspects of the
image-based registration algorithm. Using phantom experiments 97% of the
registration attempts passed the success criterion of a residual registration
error of less than 1 mm translation and 3{\deg} rotation. The paper establishes
a new method for validation of 2D-3D registration without requiring changes to
the clinical workflow, such as attaching fiducial markers. As a consequence,
this method can be retrospectively applied to pre-existing clinical data. For
clinical data experiments, 87% of the registration attempts passed the
criterion of a residual translational error of < 1 mm, and 84% possessed a
rotational error of < 3{\deg}.
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