A topology preserving non-rigid registration algorithm with integration shape knowledge to segment brain subcortical structures from MRI images

DOI10.1016/j.patcog.2010.01.012zbMath1214.68322OpenAlexW4298045048WikidataQ57604028 ScholiaQ57604028MaRDI QIDQ969078

Su Ruan, Xiangbo Lin, Frederic Morain-Nicolier, Tian-shuang Qiu

Publication date: 11 May 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.01.012

zbMATH Keywords

topology preservationnon-rigid registrationshape registrationmulti-objects segmentation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10)

Related Items (1)

Nonrigid medical image registration based on mesh deformation constraints

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Visualising deformation fields computed by non-linear image registration
• Nonlinear registration using variational principle for mutual information
• Fast image registration by hierarchical soft correspondence detection
• Image registration using Markov random coefficient and geometric transformation fields
• A computational framework for image-based constrained registration
• Landmark matching via large deformation diffeomorphisms
• Topology preserving deformable image matching using constrained hierarchical parametric models
• Iconic feature based nonrigid registration: the PASHA algorithm
• Knowledge-based segmentation and labeling of brain structures from MRI images

This page was built for publication: A topology preserving non-rigid registration algorithm with integration shape knowledge to segment brain subcortical structures from MRI images