A Spatial Registration Method Based on Point Cloud and Deep Learning for Augmented Reality Neurosurgical Navigation.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS

PMID: 39716403

Abstract

BACKGROUND: In order to achieve spatial registration for surgical navigation, a spatial registration method based on point cloud and deep learning is proposed.

Authors

Zifeng Liu

Shandong Yankuang Group Changlong Cable Manufacturing Co., Ltd, Jining, China.
Zhiyong Yang
Shan Jiang

Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitaion, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Zeyang Zhou

Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, People's Republic of China.

Keywords

Algorithms Augmented Reality Cloud Computing Deep Learning Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Neuronavigation Neurosurgical Procedures Phantoms, Imaging Robotic Surgical Procedures Surgery, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (39716403)

A Spatial Registration Method Based on Point Cloud and Deep Learning for Augmented Reality Neurosurgical Navigation.

Abstract

Authors

Keywords

External Resources

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