NDLI: Semi-automatic three-dimensional vessel segmentation using a connected component localization of the Region-Scalable Fitting Energy

Content Provider	IEEE Xplore Digital Library
Author	Fedele, M. Faggiano, E. Barbarotta, L. Cremonesi, F. Formaggia, L. Perotto, S.
Copyright Year	2015
Description	Author affiliation: Dipt. di Ing. Civile e Architettura, Univ. di Pavia, Pavia, Italy (Fedele, M.; Faggiano, E.) \|\| Dipt. di Mat., Politec. di Milano, Milan, Italy (Barbarotta, L.; Cremonesi, F.; Formaggia, L.; Perotto, S.)
Abstract	Segmentation of patient-specific vascular segments of interest from medical images is an important topic for numerous applications. Despite the great importance of having semi-automatic segmentation methods in this field, the process of image segmentation is still based on several operator-dependent steps which make large-scale segmentation a non trivial and time consuming task. In this work we present a semi-automatic segmentation method to reconstruct vascular structures from three-dimensional medical images. We start from the minimization of the Region Scalable Fitting Energy using the Split-Bregman method and we modify the resulting algorithm adding a connected component extraction of the solution starting from a point that identifies the vascular structure of interest. In this way, we add a constraint to the algorithm focusing it only on the vascular structure we want to reconstruct and avoiding the attachment with the nearby objects. Finally, we describe a strategy to minimize the number of involved parameters in order to limit the user effort. The results obtained on two different images (a Magnetic Resonance and a Computed Tomography) demonstrate that our method outperforms the original method in segmenting the vascular region of interest without the inclusion of nearby objects in the result.
Starting Page	72
Ending Page	77
File Size	5048410
Page Count	6
File Format	PDF
e-ISBN	9781467380324
DOI	10.1109/ISPA.2015.7306035
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-07
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Biomedical imaging Computed tomography Level set Signal processing algorithms Three-dimensional displays Image reconstruction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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