DocumentCode :
139889
Title :
A multi-tissue segmentation of the human head for detailed computational models
Author :
Hannula, Markus ; Narra, Nathaniel ; Onnela, Niina ; Dastidar, Prasun ; Hyttinen, Jari
Author_Institution :
Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
2484
Lastpage :
2487
Abstract :
This paper describes the creation of an anatomically detailed high resolution model of the human head based on the Visible Human Female data from the National Library of Medicine archives. Automatic and semi-automatic segmentation algorithms were applied over the 3 image volumes - CT, MRI and anatomical cryo-sections of the cadaver - to label a total of 23 tissues. The results were combined to create a labeled volume of the head with voxel dimensions of 0.33×0.33×0.33 mm. The individual label matrices and their corresponding surface meshes are made available to be used freely. The detailed blood vessel network and ocular tissues will be of interest in computational modelling and simulation studies.
Keywords :
biological tissues; blood vessels; brain; image resolution; image segmentation; medical image processing; CT; MRI; automatic segmentation; human head; multitissue segmentation; semiautomatic segmentation; visible human female; Brain models; Computational modeling; Computed tomography; Head; Image resolution; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944126
Filename :
6944126
Link To Document :
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