Inter-Subject Shape Correspondence Computation From Medical Images Without Organ Segmentation
Statistical shape models (SSMs) have been established as robust anatomical priors for medical image segmentation, registration and anatomy modelling. To construct an SSM which accurately models the inter-subject anatomical variations, it is crucial to compute accurate shape correspondence between th...
Main Authors: | Zhaofeng Chen, Tianshuang Qiu, Li Huo, Lijuan Yu, Hongcheng Shi, Yanjun Zhang, Hongkai Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8830479/ |
Similar Items
-
Elastic Statistical Shape Analysis with Landmark Constraints
by: Strait, Justin
Published: (2018) -
Automated Cephalometric Landmark Localization using a Coupled Shape Model
by: Wirtz Andreas, et al.
Published: (2020-09-01) -
Intent- driven Correspondence and Registration of Shapes
by: Krishnamurthy, Hariharan
Published: (2018) -
¿Existe isomorfía en los huevos de las especies de la familia Ardeidae (Aves, Ciconiiformes)?
by: Denis, D., et al.
Published: (2011-06-01) -
Deformable Head Atlas of Chinese Adults Incorporating Inter-Subject Anatomical Variations
by: Zhaofeng Chen, et al.
Published: (2018-01-01)