Cargando…
Non-rigid point cloud registration based lung motion estimation using tangent-plane distance
Accurate estimation of motion field in respiration-correlated 4DCT images, is a precondition for the analysis of patient-specific breathing dynamics and subsequent image-supported treatment planning. However, the lung motion estimation often suffers from the sliding motion. In this paper, a novel lu...
Autores principales: | Rao, Fan, Li, Wen-long, Yin, Zhou-ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157875/ https://www.ncbi.nlm.nih.gov/pubmed/30256830 http://dx.doi.org/10.1371/journal.pone.0204492 |
Ejemplares similares
-
Imagery Network Fine Registration by Reference Point Cloud Data Based on the Tie Points and Planes
por: Eslami, Mehrdad, et al.
Publicado: (2021) -
NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
por: Hu, Xiaobo, et al.
Publicado: (2022) -
Articulated Non-Rigid Point Set Registration for Human Pose Estimation from 3D Sensors
por: Ge, Song, et al.
Publicado: (2015) -
RGB-D-Based Pose Estimation of Workpieces with Semantic Segmentation and Point Cloud Registration
por: Xu, Hui, et al.
Publicado: (2019) -
A feasibility study to estimate optimal rigid‐body registration using combinatorial rigid registration optimization (CORRO)
por: Yorke, Afua A., et al.
Publicado: (2020)