NDLI: Registration and fusion of human craniocerebral 3d models reconstructed from multimodality images

Content Provider	IEEE Xplore Digital Library
Author	Hui-Qun Wu Xing-Yun Geng Yuan-Peng Zhang Jian-Cheng Dong Kui Jiang Xiao Han Guang-Min Lü
Copyright Year	2010
Description	Author affiliation: Department of Medical Informatics, Institute of Digital Medicine, Medical School of Nantong University, 226001, China (Hui-Qun Wu; Xing-Yun Geng; Yuan-Peng Zhang; Jian-Cheng Dong; Kui Jiang) \|\| Department of Human Anatomy, Jiangsu Key Laboratory of Nerve Regeneration, Medical School of Nantong University, 226001, China (Xiao Han; Guang-Min Lü)
Abstract	Our aim was to investigate the registration and fusion of models reconstructed from multimodal craniocerebral sectional images, providing basis of craniocerebral structure visualization for surgical navigation. The craniocerebral dataset from different modalities were obtained and constructed. For segmentation, “training area” and “threshold” methods were performed for white matter in MRI coronary sections, gray matter and ventricle in MRI axial sections in 3D-DOCTOR4.0, then manual corrected. Skull in CT axial sectional images was automatically segmented by thresholding in Mimics8.11. Then, the above segmented structures were reconstructed and exported to Mimics software for registration and fusion. Finally, the fused models were observed at random angle and measured in computer. Skull, gray matter, white matter and ventricular system were reconstructed. The fused brain models were distributed well in cranial cavity, and inner white matter and ventricles were fused well in good position. In conclusion, three dimensional reconstructions can be made from multimodal craniocerebral sectional images according to their anatomic structure characteristics, and then registered and fused together.
Starting Page	494
Ending Page	497
File Size	783736
Page Count	4
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5639965
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Magnetic resonance imaging three dimensional visualization image fusion image registration Surgery Craniocerebral surgical navigation Skull Software Three dimensional displays visible man Image reconstruction
Content Type	Text
Resource Type	Article

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