MICCAI 2009 Workshop: Head and Neck Auto-Segmentation Challenge

Issue

The goal of this challenge is to compare fully automatic methods for segmenting anatomical structures in head and neck CT data used in radiotherapy planning. One bony structure -mandible- and one soft tissue structure -brainstem- are offered for the competition. They both represent important organs at risk, which need to be accurately delineated in preparation for radiation treatment.

Title

Authors

Keywords

Multi-object Segmentation of Head Bones

Kainmueller, Dagmar, Lamecker, Hans, Seim, Heiko, Zachow, Stefan

automatic segmentation, mandible, statistical shape model, multi-object segmentation

AAM Segmentation of the Mandible and Brainstem

Babalola, Kola, Cootes, Tim

Active Appearance Models, Statistical Shape Models

Segmentation of Head and Neck CT Scans Using Atlas-based Level Set Method

Zhang, Xing, Tian, Jie, Wu, Yongfang, Zheng, Jian, Deng, Kexin

B-spline, level set, shape prior, segmentation, registration, atlas

Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection

Gorthi, Subrahmanyam, Duay, Valérie, Bach Cuadra, Meritxell, Tercier, Pierre-Alain, Allal, Abdelkarim S., Thiran, Jean-Philippe

Radiotherapy, Atlas selection, Head and Neck, Atlas-based segmentation, Non-rigid Registration, IMRT

Automatic Segmentation of Head and Neck CT Images by GPU-Accelerated Multi-atlas Fusion

Han, Xiao, Han, Xiao, Hibbard, Lyndon S., O'Connell, Nicolette, Willcut, Virgil

CT Image Segmentation, multiple atlases, GPU, Radiotherapy Planning, Deformable Registration, Atlas-based Segmentation

The MIDAS Journal

MICCAI 2009 Workshop: Head and Neck Auto-Segmentation Challenge