Abstract
Intensity-based 3D-2D registration is a well-established technique shown to be effective for many clinical applications. However, it is valid mainly for 3D Computed Tomography (CT) volume to 2D X-ray image registration because the computation of volume-based Digitally Reconstructed Radiography (DRR) relies on the linear relationship between CT’s intensity and the attenuation coefficient of the underlying structure for X-ray. This paper introduces a mesh-based DRR renderer that simulates realistic-looking X-ray images from 3D meshes, which can be used to replace conventional volume-based DRR in intensity-based 3D-2D registration for 3D volumes from various image modalities. The proposed renderer calculates the travel distance of a given ray within the mesh, and computes X-ray attenuation based on the travel distance and the object’s attenuation property. The proposed method also uses a novel ray-casting strategy that takes GPU architecture into consideration for high computational efficiency. Validation results show that the proposed mesh-based DRR simulates X-ray images with a high fidelity, and intensity-based 3D-2D registration using the resulting mesh-based DRR achieves satisfactory results on clinical data.
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Miao, S., Huynh, T., Adnet, C., Pfister, M., Liao, R. (2013). Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography. In: Liao, H., Linte, C.A., Masamune, K., Peters, T.M., Zheng, G. (eds) Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions. MIAR AE-CAI 2013 2013. Lecture Notes in Computer Science, vol 8090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40843-4_10
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DOI: https://doi.org/10.1007/978-3-642-40843-4_10
Publisher Name: Springer, Berlin, Heidelberg
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