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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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实践中的点图:3D多视图眼损伤映射

Vasileios Alevizos1,2, George A Papakostas3

  • 1Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77, Stockholm, Sweden. vasileios.alevizos@pm.me.

Journal of imaging informatics in medicine
|October 24, 2025
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概括
此摘要是机器生成的。

这项研究引入了一种用于3D眼镜成像的新方法,可以精确地绘制阴道黑色素瘤的体积映射. 该技术使用DUSt3R和对数定位分区间编码 (LPPIE) 进行准确和内存高效的3D重建.

关键词:
3D重建重建的3D重建深度估计估计的深度.多视图对齐对齐方式眼部瘤成像 眼部瘤成像卷度转换的体积变化

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科学领域:

  • 眼科和医学成像学
  • 计算机视觉和图形学

背景情况:

  • 准确的3D体积测绘对于指导皮膜黑色素瘤治疗至关重要,因为2D成像缺乏必要的拓细节来精确划分边界.
  • 现有的方法可能会与眼睛的复杂几何和光学特性作斗争,需要先进的重建技术.

研究的目的:

  • 开发和评估一种新的管道,用于使用单摄像头输入的精确,记忆效率高的3D眼体体积测量.
  • 为了能够精确地划分眼睛病态的边界和体积映射,包括皮膜黑色素瘤.

主要方法:

  • 使用DUSt3R进行对应估计,使用自我校准的姿势和密集的点图,通过内在再投影损失进行精细化.
  • 利用对数定位分区间编码 (LPPIE) 进行深度数据,点图和摄像头参数,以最大限度地减少内存使用.
  • 评估了各种眼睛图像 (黑色素瘤,,黑色素瘤,pterygium,幻影) 的管道,使用完整性,MAE,RMSE以及旋转/翻译错误等指标.

主要成果:

  • 黑色素瘤病例的完成度 (C) 大约为0.43,旋转不匹配率约为2°,RMSE为0.021,翻译误差为3.9厘米.
  • 更简单的形态产生了更高的完整性 (高达0.61),稳定的MAE (0.005-0.008) 和高精度 (δ<1.25 ≈ 0.98-0.99).
  • LPPIE显著减少了内存足迹,纹理降解最小;在适度的计算负载下生成了连贯的网格.

结论:

  • 拟议的方法提供了一种可行的方法,用于使用便携式硬件和最小校准进行可访问的眼体体积测量.
  • 该管道展示了临床应用的潜力,通过精确的3D重建指导阴道黑色素瘤治疗.
  • 进一步的改进可以提高对不规则表面,镜面反射和运动器件的稳定性,从而提高临床实用性.