Cargando…
Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching
Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases. In this paper, we present a 4D lung segmentation method that mutually utilizes all individual CT volumes to deriv...
Autores principales: | Gill, Gurman, Beichel, Reinhard R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618332/ https://www.ncbi.nlm.nih.gov/pubmed/26557844 http://dx.doi.org/10.1155/2015/125648 |
Ejemplares similares
-
Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach
por: Gill, Gurman, et al.
Publicado: (2014) -
Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients
por: Meijs, Midas, et al.
Publicado: (2017) -
A Multi-Sensor Matched Filter Approach to Robust Segmentation of Assisted Gait
por: Gill, Satinder, et al.
Publicado: (2018) -
Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes
por: Kloenne, Marie, et al.
Publicado: (2020) -
Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT
por: Cheimariotis, Grigorios-Aris, et al.
Publicado: (2017)