An semi-Automatic approach for fast statistical data extraction from aortic valve

Aleksandrs Sisojevs; Rihards Starinskis; Peteris Stradiņš

An semi-Automatic approach for fast statistical data extraction from aortic valve

Aleksandrs Sisojevs, Rihards Starinskis, Peteris Stradiņš

Rīga Stradiņš University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of "k-Nearest Neighbors" method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.

Original language	English
Title of host publication	Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
Editors	Katherine Blashki, Yingcai Xiao, Luis Rodrigues
Publisher	IADIS
Pages	293-297
Number of pages	5
ISBN (Electronic)	9789898533524
Publication status	Published - 2016
Event	2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016 - Madeira, Portugal Duration: 1 Jul 2016 → 4 Jul 2016

Publication series

Name	Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

Conference

Conference	2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016
Abbreviated title	IHCI/GET/CGVCVIP
Country/Territory	Portugal
City	Madeira
Period	1/07/16 → 4/07/16

Keywords*

Aortic valve
Calcification
Pattern recognition
Segmentation.

Field of Science*

2.2 Electrical engineering, Electronic engineering, Information engineering
3.2 Clinical medicine

Publication Type*

3.3. Publications in conference proceedings indexed in Web of Science and/or Scopus database

Cite this

Sisojevs, A., Starinskis, R., & Stradiņš, P. (2016). An semi-Automatic approach for fast statistical data extraction from aortic valve. In K. Blashki, Y. Xiao, & L. Rodrigues (Eds.), Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 293-297). (Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016). IADIS.

Sisojevs, Aleksandrs ; Starinskis, Rihards ; Stradiņš, Peteris. / An semi-Automatic approach for fast statistical data extraction from aortic valve. Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. editor / Katherine Blashki ; Yingcai Xiao ; Luis Rodrigues. IADIS, 2016. pp. 293-297 (Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

@inproceedings{60686637226d41bca822e68272aa1ab4,

title = "An semi-Automatic approach for fast statistical data extraction from aortic valve",

abstract = "The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of {"}k-Nearest Neighbors{"} method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.",

keywords = "Aortic valve, Calcification, Pattern recognition, Segmentation.",

author = "Aleksandrs Sisojevs and Rihards Starinskis and Peteris Stradiņ{\v s}",

note = "Funding Information: The research was supported by the National Research Programme {"}The next generation of information and communication technologies{"} (NexIT, Project 2).; 2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016, IHCI/GET/CGVCVIP ; Conference date: 01-07-2016 Through 04-07-2016",

year = "2016",

language = "English",

series = "Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016",

publisher = "IADIS",

pages = "293--297",

editor = "Katherine Blashki and Yingcai Xiao and Luis Rodrigues",

booktitle = "Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016",

}

Sisojevs, A, Starinskis, R & Stradiņš, P 2016, An semi-Automatic approach for fast statistical data extraction from aortic valve. in K Blashki, Y Xiao & L Rodrigues (eds), Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016, IADIS, pp. 293-297, 2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016, Madeira, Portugal, 1/07/16.

An semi-Automatic approach for fast statistical data extraction from aortic valve. / Sisojevs, Aleksandrs; Starinskis, Rihards; Stradiņš, Peteris.
Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. ed. / Katherine Blashki; Yingcai Xiao; Luis Rodrigues. IADIS, 2016. p. 293-297 (Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An semi-Automatic approach for fast statistical data extraction from aortic valve

AU - Sisojevs, Aleksandrs

AU - Starinskis, Rihards

AU - Stradiņš, Peteris

N1 - Funding Information: The research was supported by the National Research Programme "The next generation of information and communication technologies" (NexIT, Project 2).

PY - 2016

Y1 - 2016

N2 - The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of "k-Nearest Neighbors" method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.

AB - The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of "k-Nearest Neighbors" method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.

KW - Aortic valve

KW - Calcification

KW - Pattern recognition

KW - Segmentation.

UR - http://www.scopus.com/inward/record.url?scp=85016054557&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85016054557

T3 - Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

SP - 293

EP - 297

BT - Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

A2 - Blashki, Katherine

A2 - Xiao, Yingcai

A2 - Rodrigues, Luis

PB - IADIS

T2 - 2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016

Y2 - 1 July 2016 through 4 July 2016

ER -

Sisojevs A, Starinskis R, Stradiņš P. An semi-Automatic approach for fast statistical data extraction from aortic valve. In Blashki K, Xiao Y, Rodrigues L, editors, Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS. 2016. p. 293-297. (Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

An semi-Automatic approach for fast statistical data extraction from aortic valve

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Keywords*

Field of Science*

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