Performance Evaluation of Contour Determination Algorithm Using Conventional and Compounded Ultrasound Medical Images

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IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)

Sofia, Bulgari

October 03-October 06

ISBN: 0-7695-2643-8

	ASCII Text	x
	Pavlina Konstantinova, Vera Behar, Milen Nikolov, "Performance Evaluation of Contour Determination Algorithm Using Conventional and Compounded Ultrasound Medical Images," John Vincent Atanasoff Modern Computing, International Symposium on, pp. 114-119, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006.

	BibTex	x
	@article{ 10.1109/JVA.2006.38, author = {Pavlina Konstantinova and Vera Behar and Milen Nikolov}, title = {Performance Evaluation of Contour Determination Algorithm Using Conventional and Compounded Ultrasound Medical Images}, journal ={John Vincent Atanasoff Modern Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2643-8}, pages = {114-119}, doi = {http://doi.ieeecomputersociety.org/10.1109/JVA.2006.38}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - John Vincent Atanasoff Modern Computing, International Symposium on TI - Performance Evaluation of Contour Determination Algorithm Using Conventional and Compounded Ultrasound Medical Images SN - 0-7695-2643-8 SP114 EP119 A1 - Pavlina Konstantinova, A1 - Vera Behar, A1 - Milen Nikolov, PY - 2006 KW - null VL - 0 JA - John Vincent Atanasoff Modern Computing, International Symposium on ER -

Pavlina Konstantinova, Bulgarian Academy of Sciences

Vera Behar, Bulgarian Academy of Sciences

Milen Nikolov, Bulgarian Academy of Sciences

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/JVA.2006.38

Performance evaluation of contour determination algorithm using both conventional ultrasound images and ultrasound images, generated by Multi-Angle Compounding Imaging (MACI) is presented. A method for modelling different contour shapes with known true positions and a method for error estimation are used to compare the results in both cases. A Probabilistic Data Association combined with Interacting Multiple Model (IMMPDA) approach is used for contour determination algorithm. The results are presented in figures and show that the contour determination algorithm works more robust and more precisely with compound images.

Citation:

Pavlina Konstantinova, Vera Behar, Milen Nikolov, "Performance Evaluation of Contour Determination Algorithm Using Conventional and Compounded Ultrasound Medical Images," jva, pp.114-119, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006

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