Combining SENSE and compressed sensing MRI with a fast iterative contourlet thresholding algorithm

Jinpeng Zhou, Jianwu Li, Jean Claude Gombaniro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

We present a new method to improve the performance of the combination of sensitivity encoding (SENSE) and compressed sensing (CS) based on the fast iterative contourlet thresholding algorithm (FICOTA). The proposed method, dubbed as FICOTA-SENSE, separates FICOTA reconstruction and SENSE reconstruction into two sequential steps and successfully inherits the effectiveness of FICOTA. Experimental results validate that FICOTA-SENSE can provide superior performance on reconstruction quality and representation of curve-like features.

Original languageEnglish
Title of host publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
EditorsZhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1123-1127
Number of pages5
ISBN (Electronic)9781467376822
DOIs
Publication statusPublished - 13 Jan 2016
Event12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China
Duration: 15 Aug 201517 Aug 2015

Publication series

Name2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Conference

Conference12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/TerritoryChina
CityZhangjiajie
Period15/08/1517/08/15

Keywords

  • CS-SENSE
  • FICOTA
  • SENSE
  • compressed sensing
  • parallel imaging

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