Work

Multi-atlas labeling with population-specific template and non-local patch-based label fusion

Year: 2012

Type: conference-paper

Abstract: We propose a new method combining a population-specific nonlinear template atlas approach with non-local patch-based structure segmentation for whole brain segmentation into individual structures. This way, we benefit from the efficient intensity-driven segmentation of the non-local means framework and from the global shape constraints imposed by the nonlinear template matching.

Authors: Fonov, Vladimir, Coupé, Pierrick, Eskildsen, Simon, F., Manjon, Jose, V., Collins, Louis

Institutions: Montreal Neurological Institute and Hospital, Laboratoire Bordelais de Recherche en Informatique, Aalborg University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2937205530

FWCI: 0.444

Cites: 9

Cited by: 10

Related to: 10