Journal article
Use of phase diversity and modified phase congruence for edge enhancement in ultrasonic imaging
Signal, image and video processing, v 7(2), pp 317-324
2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Enhancement of boundaries is essential for the classification of suspicious regions in ultrasonic medical B scan images of internal organs so that malignancies can be identified and detected. Phase congruence has been suggested as a means to delineate the boundaries in images. Estimation of phase congruence requires the use of log-Gabor filters. In this work, spatial phase-only filters are used to generate the phase and magnitude information necessary for the estimation of phase congruence. Taking into account the multiplicative non-Rayleigh nature of speckle in these images, a modified version of phase congruence is used alongside pre-filtering with median filters to reduce speckle. Processing was undertaken on two computer-synthesized images and two B scan images of tissue-mimicking phantoms acquired using a commercial ultrasonic imaging unit. The results show that the modified phase congruence estimated after the filtering with four spatial phase-only filters enhances the boundaries of target-like regions in these images. Since these phase-only filters require fewer parameters than log-Gabor filters, the technique demonstrated in this work can provide a simple means to use phase congruence to highlight boundaries in ultrasonic images corrupted by speckle.
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Details
- Title
- Use of phase diversity and modified phase congruence for edge enhancement in ultrasonic imaging
- Creators
- P. M. Shankar - Drexel University
- Publication Details
- Signal, image and video processing, v 7(2), pp 317-324
- Publisher
- Springer-Verlag
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000314984600012
- Scopus ID
- 2-s2.0-84874112864
- Other Identifier
- 991019183981904721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology