CNN-based real-time 2D-3D deformable registration from a single X-ray projection

• URL: http://arxiv.org/abs/2212.07692v2
• Date: Mon, 27 Mar 2023 14:22:54 GMT
• Title: CNN-based real-time 2D-3D deformable registration from a single X-ray projection
• Authors: Fran\c{c}ois Lecomte, Jean-Louis Dillenseger, St\'ephane Cotin
• Abstract summary: This paper presents a method for real-time 2D-3D non-rigid registration using a single fluoroscopic image. A dataset composed of displacement fields and 2D projections of the anatomy is generated from a preoperative scan. A neural network is trained to recover the unknown 3D displacement field from a single projection image.
• Score: 2.1198879079315573
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Purpose: The purpose of this paper is to present a method for real-time 2D-3D non-rigid registration using a single fluoroscopic image. Such a method can find applications in surgery, interventional radiology and radiotherapy. By estimating a three-dimensional displacement field from a 2D X-ray image, anatomical structures segmented in the preoperative scan can be projected onto the 2D image, thus providing a mixed reality view. Methods: A dataset composed of displacement fields and 2D projections of the anatomy is generated from the preoperative scan. From this dataset, a neural network is trained to recover the unknown 3D displacement field from a single projection image. Results: Our method is validated on lung 4D CT data at different stages of the lung deformation. The training is performed on a 3D CT using random (non domain-specific) diffeomorphic deformations, to which perturbations mimicking the pose uncertainty are added. The model achieves a mean TRE over a series of landmarks ranging from 2.3 to 5.5 mm depending on the amplitude of deformation. Conclusion: In this paper, a CNN-based method for real-time 2D-3D non-rigid registration is presented. This method is able to cope with pose estimation uncertainties, making it applicable to actual clinical scenarios, such as lung surgery, where the C-arm pose is planned before the intervention.

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