TL;DR
This study proposes a training-free two-stage optimization framework for accurate 3D reconstruction of volumetric medical images, offering a precise, generalizable solution for surface reconstruction of volumetric medical images.
In robot-assisted partial nephrectomy, the real-time alignment of preoperative 3D virtual models with intraoperative anatomical structures is critical for localising hidden tumours and vasculature. However, non-rigid organ deformation and the partial nature of intraoperative surface observations present significant cha...
3D-CurvSegFlow is presented, a flow matching-based model for 3D curvilinear structure segmentation that outperforms general-purpose and vessel-specific approaches, with strong preservation of thin branches and vascular continuity.
Reconstructing medical images from partial measurements is a critical inverse problem in computed tomography (CT) and magnetic resonance imaging (MRI). While diffusion models excel in 2D medical imaging, their extension to 3D reconstruction remains challenging due to high computational costs. In this work, we achieve e...
3D modeling of the anatomical structures based on 3D scan information is essential in the production of customized medical instruments. Raw point cloud data is however, in most cases quite noisy, incomplete and is sampled quite irregularly making it difficult to reconstruct with much reliability. This paper presents a...
Multimodal image registration is a key component of many clinical workflows, yet it remains challenging because corresponding anatomical structures often exhibit substantially different image intensities across modalities. In this work, we present a comprehensive benchmark of intra-patient 3D multimodal deformable regi...
OBJECTIVE The primary objective of this research is to address the challenges of limited-angle computed tomography (CT) reconstruction that arises when projection data are acquired over an angular range smaller than that required for theoretically exact reconstruction. This ill-posed problem leads to severe artifacts c...
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