Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy-Reference-Cited by-同舟云学术

Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy

Published:2022-09 Issue:9 Volume:41 Page:2385-2398
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

You Qi¹^ORCID,Trzasko Joshua D.²,Lowerison Matthew R.³^ORCID,Chen Xi³^ORCID,Dong Zhijie³^ORCID,ChandraSekaran Nathiya Vaithiyalingam⁴,Llano Daniel A.⁴,Chen Shigao²^ORCID,Song Pengfei⁵^ORCID

Affiliation:

1. Department of Bioengineering, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign, Urbana, IL, USA

2. Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA

3. Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign, Urbana, IL, USA

4. School of Molecular and Cellular Biology, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign, Urbana, IL, USA

5. Department of Electrical and Computer Engineering, School of Molecular and Cellular Biology, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign, Urbana, IL, USA

Funder

National Cancer Institute and the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9872156/09743950.pdf?arnumber=9743950

Reference49 articles.

1. Continuous curvelet transform

2. New tight frames of curvelets and optimal representations of objects with piecewiseC2singularities

3. Recovering edges in ill-posed inverse problems: optimality of curvelet frames

4. Signal recovery from random projections

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