Shape deformation descriptor using Fourier analysis

Adhi Harmoko Saputro, Mohd. Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Nor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deformation analysis of left ventricle (LV) shape could provide a new quantitative understanding of its abnormality. Currently, there is established motion estimation that allows accurate tracking of every point on the 2D echocardiography (2DE). This method produces a precise movement vector of each point in 2DE sequence. Analyzing this data using Fourier analysis could produce a new pattern to determine normal and abnormal deformation of LV. Observation of this method was performed on dataset acquired from 10 normal subjects and 10 patients. Two standard views (apical 2 and 4 chamber) were analyzed using a proposed technique to determine a novel insight of deformation. The results obtained are very promising and could be used as reference for future cardiac abnormality detection.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
DOIs
Publication statusPublished - 2012
Event2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 - Brisbane, QLD
Duration: 10 Jun 201215 Jun 2012

Other

Other2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012
CityBrisbane, QLD
Period10/6/1215/6/12

Fingerprint

Fourier analysis
Echocardiography
Motion estimation

Keywords

  • fourier descriptor
  • left ventricle shape
  • non-rigid tracking
  • shape deformation

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Saputro, A. H., Mustafa, M. M., Hussain, A., Maskon, O., & Mohd Nor, I. F. (2012). Shape deformation descriptor using Fourier analysis. In Proceedings of the International Joint Conference on Neural Networks [6252589] https://doi.org/10.1109/IJCNN.2012.6252589

Shape deformation descriptor using Fourier analysis. / Saputro, Adhi Harmoko; Mustafa, Mohd. Marzuki; Hussain, Aini; Maskon, Oteh; Mohd Nor, Ika Faizura.

Proceedings of the International Joint Conference on Neural Networks. 2012. 6252589.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saputro, AH, Mustafa, MM, Hussain, A, Maskon, O & Mohd Nor, IF 2012, Shape deformation descriptor using Fourier analysis. in Proceedings of the International Joint Conference on Neural Networks., 6252589, 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, QLD, 10/6/12. https://doi.org/10.1109/IJCNN.2012.6252589
Saputro AH, Mustafa MM, Hussain A, Maskon O, Mohd Nor IF. Shape deformation descriptor using Fourier analysis. In Proceedings of the International Joint Conference on Neural Networks. 2012. 6252589 https://doi.org/10.1109/IJCNN.2012.6252589
Saputro, Adhi Harmoko ; Mustafa, Mohd. Marzuki ; Hussain, Aini ; Maskon, Oteh ; Mohd Nor, Ika Faizura. / Shape deformation descriptor using Fourier analysis. Proceedings of the International Joint Conference on Neural Networks. 2012.
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