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Automation of Hessian-Based Tubularity Measure Response Function in 3D Biomedical Images
Joint Authors
Ritman, Erik L.
Dzyubak, Oleksandr P.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The blood vessels and nerve trees consist of tubular objects interconnected into a complex tree- or web-like structure that has a range of structural scale 5 μm diameter capillaries to 3 cm aorta.
This large-scale range presents two major problems; one is just making the measurements, and the other is the exponential increase of component numbers with decreasing scale.
With the remarkable increase in the volume imaged by, and resolution of, modern day 3D imagers, it is almost impossible to make manual tracking of the complex multiscale parameters from those large image data sets.
In addition, the manual tracking is quite subjective and unreliable.
We propose a solution for automation of an adaptive nonsupervised system for tracking tubular objects based on multiscale framework and use of Hessian-based object shape detector incorporating National Library of Medicine Insight Segmentation and Registration Toolkit (ITK) image processing libraries.
American Psychological Association (APA)
Dzyubak, Oleksandr P.& Ritman, Erik L.. 2011. Automation of Hessian-Based Tubularity Measure Response Function in 3D Biomedical Images. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-508207
Modern Language Association (MLA)
Dzyubak, Oleksandr P.& Ritman, Erik L.. Automation of Hessian-Based Tubularity Measure Response Function in 3D Biomedical Images. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-16.
https://search.emarefa.net/detail/BIM-508207
American Medical Association (AMA)
Dzyubak, Oleksandr P.& Ritman, Erik L.. Automation of Hessian-Based Tubularity Measure Response Function in 3D Biomedical Images. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-508207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508207