Automatic slice growing method based 3D reconstruction of liver with its vessels

This conference paper was presented in 16th International Conference on Computer and Information Technology, ICCIT 2013; Khulna; Bangladesh; 8 March 2014 through 10 March 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICCITechn.2014.6997361...

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Auteurs principaux:	Alom, Md. Zahangir, Mostakim, Moin, Biswas, Rubel, Chakrabarty, Amitabha
Autres auteurs:	Department of Computer Science and Engineering, BRAC University
Format:	Conference paper
Langue:	English
Publié:	© 2014 Institute of Electrical and Electronics Engineers Inc. 2016
Sujets:	3D level set CT Liver Segmentation MRI SGM Vessel segmentation
Accès en ligne:	http://hdl.handle.net/10361/7302 http://dx.doi.org/10.1109/ICCITechn.2014.6997361

id	10361-7302
record_format	dspace
spelling	10361-73022022-01-27T03:12:57Z Automatic slice growing method based 3D reconstruction of liver with its vessels Alom, Md. Zahangir Mostakim, Moin Biswas, Rubel Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University 3D level set CT Liver Segmentation MRI SGM Vessel segmentation This conference paper was presented in 16th International Conference on Computer and Information Technology, ICCIT 2013; Khulna; Bangladesh; 8 March 2014 through 10 March 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICCITechn.2014.6997361 In the recent years, reconstructing 3D liver and its vessels from abdominal CT volume images becomes an inevitable and necessary research field. In this paper, a method of 3D reconstruction of liver with its vessels has been implemented, which involves volume preprocessing, de-noising, segmentation, contouring, and combination of different modalities. An advanced liver segmentation algorithms have been proposed: The first one is a 2.5D method that utilizes automatic Slice Growing Method (SGM) to segment liver part of each slice of a data set. It takes advantage of curvature control of level set segmentation method to distinguish liver and adjacent organs. It is proved that the result of this proposed method is much better than simple 3D level set method in liver segmentation. In the case of liver vessel segmentation, we have proposed an improved smoothing method dedicate to 3D vascular volume which results from region growing segmentation method. The cooperation of region growing method and proposed smoothing method has been demonstrated the possibility of efficient vessel segmentation with very accurate results. And the results indicate that our method is suitable for anatomical studying and surgical planning. Published 2016-12-21T06:24:41Z 2016-12-21T06:24:41Z 2014 Conference paper Alom, M. Z., Mostakim, M., Biswas, R., & Chakrabarty, A. (2014). Automatic slice growing method based 3D reconstruction of liver with its vessels. Paper presented at the 16th Int'l Conf. Computer and Information Technology, ICCIT 2013, 338-344. doi:10.1109/ICCITechn.2014.6997361 9.78148E+12 http://hdl.handle.net/10361/7302 http://dx.doi.org/10.1109/ICCITechn.2014.6997361 en http://ieeexplore.ieee.org/document/6997361/ © 2014 Institute of Electrical and Electronics Engineers Inc.
institution	Brac University
collection	Institutional Repository
language	English
topic	3D level set CT Liver Segmentation MRI SGM Vessel segmentation
spellingShingle	3D level set CT Liver Segmentation MRI SGM Vessel segmentation Alom, Md. Zahangir Mostakim, Moin Biswas, Rubel Chakrabarty, Amitabha Automatic slice growing method based 3D reconstruction of liver with its vessels
description	This conference paper was presented in 16th International Conference on Computer and Information Technology, ICCIT 2013; Khulna; Bangladesh; 8 March 2014 through 10 March 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICCITechn.2014.6997361
author2	Department of Computer Science and Engineering, BRAC University
author_facet	Department of Computer Science and Engineering, BRAC University Alom, Md. Zahangir Mostakim, Moin Biswas, Rubel Chakrabarty, Amitabha
format	Conference paper
author	Alom, Md. Zahangir Mostakim, Moin Biswas, Rubel Chakrabarty, Amitabha
author_sort	Alom, Md. Zahangir
title	Automatic slice growing method based 3D reconstruction of liver with its vessels
title_short	Automatic slice growing method based 3D reconstruction of liver with its vessels
title_full	Automatic slice growing method based 3D reconstruction of liver with its vessels
title_fullStr	Automatic slice growing method based 3D reconstruction of liver with its vessels
title_full_unstemmed	Automatic slice growing method based 3D reconstruction of liver with its vessels
title_sort	automatic slice growing method based 3d reconstruction of liver with its vessels
publisher	© 2014 Institute of Electrical and Electronics Engineers Inc.
publishDate	2016
url	http://hdl.handle.net/10361/7302 http://dx.doi.org/10.1109/ICCITechn.2014.6997361
work_keys_str_mv	AT alommdzahangir automaticslicegrowingmethodbased3dreconstructionofliverwithitsvessels AT mostakimmoin automaticslicegrowingmethodbased3dreconstructionofliverwithitsvessels AT biswasrubel automaticslicegrowingmethodbased3dreconstructionofliverwithitsvessels AT chakrabartyamitabha automaticslicegrowingmethodbased3dreconstructionofliverwithitsvessels
_version_	1814309842228084736

Automatic slice growing method based 3D reconstruction of liver with its vessels

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