2D-3D配准测试数据

针对2D-3D医学图像配准过程中存在的初始参数变换范围小和配准对象单一等局限性，提出了一种基于参数映射和图像分割的初始位姿估计方法，扩大了三维物体空间参数的起始运动偏差范围，解决了骨科手术导航系统在配准过程中可估计参数少和多骨块图像配准难等问题。该数据集为配准数据的数字重建影像。

To address the limitations of narrow initial parameter transformation range and single registration target in 2D-3D medical image registration, an initial pose estimation method based on parameter mapping and image segmentation is proposed. This method expands the initial motion deviation range of spatial parameters for 3D objects, and resolves the issues of limited estimable parameters and difficult multi-bone block image registration in orthopedic surgery navigation systems during registration. This dataset comprises digitally reconstructed medical images derived from registration data.

搜集汇总

背景与挑战

背景概述

该数据集是用于2D-3D医学图像配准测试的数字重建影像数据，旨在解决骨科手术导航系统中初始参数变换范围小和配准对象单一等问题，通过参数映射和图像分割方法扩大三维物体空间参数的起始运动偏差范围。数据量较小，为3.03MB，包含49个文件，属于国家重点研发计划项目的一部分，专注于医学成像技术和生物医学工程学领域。