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US & MRI Image Fusion Based on Markerless Skin Registration

arXiv 2307.14288 ↗First posted 26 Jul 2023cs.CVcited by 0

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Abstract (arXiv)

This paper presents an innovative automatic fusion imaging system that combines 3D CT/MR images with real-time ultrasound (US) acquisition. The system eliminates the need for external physical markers and complex training, making image fusion feasible for physicians with different experience levels. The integrated system involves a portable 3D camera for patient-specific surface acquisition, an electromagnetic tracking system, and US components. The fusion algorithm comprises two main parts: skin segmentation and rigid co-registration, both integrated into the US machine. The co-registration software aligns the surface extracted from CT/MR images with patient-specific coordinates, facilitating rapid and effective fusion. Experimental testing in different settings validates the system's accuracy, computational efficiency, noise robustness, and operator independence. The co-registration error remains under the acceptable range of~1 cm.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 27 references that are in the map. First posted on arXiv 26 Jul 2023.

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References · 2

  1. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  2. 2019PointNetLK: Robust & Efficient Point Cloud Registration using PointNetcited by 233

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