Investigation of 3D and 4D Feature Extraction from Echocardiography Images Using Local Phase Based Method

Ruqayya Awan, Kashif Rajpoot

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

Abstract

Ultrasound images are difficult to segment because of their noisy and low contrast nature which makes them challenging to extract the important features. Typical intensity-gradient based approaches are not suitable for these low contrast images while it has been shown that local phase based technique provides far better results than intensity based methods for ultrasound images. In this study, we adopt local phase based feature asymmetry (FA) measure using monogenic signal for 3-D and 4-D feature extraction. This paper presents our work on: (1) comparison between intensity gradient based feature detectors and phase based feature detector, (2) formulating a 4-D version of FA measure and comparing its results with 3-D FA measure, and (3) comparing quadrature pair of filters in terms of feature detection performance.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Frontiers of Information Technology, FIT 2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages251-256
Number of pages6
ISBN (Electronic)9781479975051
DOIs
Publication statusPublished - 2014
Event12th International Conference on Frontiers of Information Technology, FIT 2014 - Islamabad, Pakistan
Duration: 17 Dec 201419 Dec 2014

Publication series

NameProceedings - 12th International Conference on Frontiers of Information Technology, FIT 2014

Conference

Conference12th International Conference on Frontiers of Information Technology, FIT 2014
Country/TerritoryPakistan
CityIslamabad
Period17/12/1419/12/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • 4-D echocardiography
  • feature extraction
  • local phase
  • quadrature filter

ASJC Scopus subject areas

  • Information Systems

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