Despeckling with structure preservation in clinical ultrasound images using historical edge information weighted regularizer

Rahul Roy, Susmita Ghosh, Sung Bae Cho, Ashish Ghosh

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

Abstract

This article presents a de-speckling technique for clinical ultrasound images with an aim to preserve the fine structural information and region boundaries in images. The algorithm generates restored images by minimizing the variational energy on them. To compute variational energy, a weighted total variation based method is proposed where the weights are determined from both historical (previous/earlier time stamp) as well as instantaneous oriented structural information of images. This helps in defining the anistropy at edges in the image which, in turn, helps in identifying homogenous regions on it. Moreover, the method is able to preserve the vague echo-textural differences which might be of clinical importance but may get destroyed due to smoothing operations. To elicit effectiveness, comparative analysis of the proposed approaches have been done with four state-of-the-art techniques on both in silico and in vivo ultrasound images using four standard measures (two for phantom images and two for clinical ultrasound images). Qualitative and quantitative analysis reveals the promising performance of the proposed technique.

Original languageEnglish
Title of host publicationMining Intelligence and Knowledge Exploration - 5th International Conference, MIKE 2017, Proceedings
EditorsRajarshi Pal, Ashish Ghosh, Rajendra Prasath
PublisherSpringer Verlag
Pages144-155
Number of pages12
ISBN (Print)9783319719276
DOIs
Publication statusPublished - 2017 Jan 1
Event5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017 - Hyderabad, India
Duration: 2017 Dec 132017 Dec 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10682 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017
CountryIndia
CityHyderabad
Period17/12/1317/12/15

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Roy, R., Ghosh, S., Cho, S. B., & Ghosh, A. (2017). Despeckling with structure preservation in clinical ultrasound images using historical edge information weighted regularizer. In R. Pal, A. Ghosh, & R. Prasath (Eds.), Mining Intelligence and Knowledge Exploration - 5th International Conference, MIKE 2017, Proceedings (pp. 144-155). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10682 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-71928-3_15