Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape.
Yuwen ZhangMahyar OsanlouyAlys R. ClarkHari KumarClair KingMargaret L. WilsherDavid G. MilneEric A. HoffmanMerryn H. TawhaiPublished in: Medical Imaging: Image Processing (2019)
Keyphrases
- liver segmentation
- finite element analysis
- computed tomography scans
- medical image processing
- ct data
- ct images
- fully automatic
- medical image segmentation
- automatic segmentation
- ct scans
- material properties
- computed tomography
- finite element
- shape prior
- medical images
- segmentation algorithm
- medical imaging
- finite element model
- volume rendering
- computer aided design
- statistical shape model
- image segmentation
- friction coefficient
- level set
- shape model
- region growing
- image reconstruction
- image processing
- graph cuts
- x ray
- segmentation method
- semi automatic
- using artificial neural networks
- patient specific
- medical image analysis
- energy functional
- prior information
- manual segmentation
- deformable models
- energy function
- active contours
- sufficient conditions
- computer assisted
- object oriented
- shape analysis