Cargando…
Detection of Time-Varying Structures by Large Deformation Diffeomorphic Metric Mapping to Aid Reading of High-Resolution CT Images of the Lung
OBJECTIVES: To evaluate the accuracy of advanced non-linear registration of serial lung Computed Tomography (CT) images using Large Deformation Diffeomorphic Metric Mapping (LDDMM). METHODS: Fifteen cases of lung cancer with serial lung CT images (interval: 62.2±26.9 days) were used. After affine tr...
Autores principales: | Sakamoto, Ryo, Mori, Susumu, Miller, Michael I., Okada, Tomohisa, Togashi, Kaori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3890326/ https://www.ncbi.nlm.nih.gov/pubmed/24454894 http://dx.doi.org/10.1371/journal.pone.0085580 |
Ejemplares similares
-
Alignment of spatial transcriptomics data using diffeomorphic metric mapping
por: Clifton, Kalen, et al.
Publicado: (2023) -
Large Deformation Diffeomorphic Metric Mapping Registration of Reconstructed 3D Histological Section Images and in vivo MR Images
por: Ceritoglu, Can, et al.
Publicado: (2010) -
Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article
por: Tsuchiya, Mitsuteru, et al.
Publicado: (2020) -
Diffeomorphism with some Sobolev metric, geodesic flow and integrable systems
por: Guha, P
Publicado: (1998) -
Abdominal organ segmentation via deep diffeomorphic mesh deformations
por: Bongratz, Fabian, et al.
Publicado: (2023)