NDLI: Ultrasound compressed sensing: Performance study of reconstruction on different ultrasound imaging data

Content Provider	IEEE Xplore Digital Library
Author	Yen Chuo Tsung-Han Chan Meng-Lin Li
Copyright Year	2013
Description	Author affiliation: Adv. Digital Sci. Center, Singapore, Singapore (Tsung-Han Chan) \|\| Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Yen Chuo; Meng-Lin Li)
Abstract	In this work, we investigate performance of reconstruction on different ultrasound (US) post-beamformed data when performing compressed sensing (CS) with fewer measurements. Three types of post-beamformed data - radio frequency (RF), envelope, and log-converted data are used. Each data type has its own signal distribution, which, given a typical sparse representation, affects sparsifying efficiency during CS reconstruction and hence further determines restored image quality. Field II simulation of a speckle generating phantoms with a hyperechoic cyst is performed. The re-sampled image data used for evaluation of reconstruction performance has 75% data reduction rate from the original image. Here reconstruction is performed using convex optimization algorithm along the lateral direction and sparse transformation with CDF 5/3 wavelet is typically chosen. The results show that for feature recognition, reconstructions on post-beamformed RF and envelope data have close performance, and are better than that on log-converted data. In terms of mean-square-error, reconstruction on RF data performs best.
Sponsorship	IEEE Ultrason., Ferroelectr., Freq. Control Society
Starting Page	903
Ending Page	905
File Size	962623
Page Count	3
File Format	PDF
ISSN	19485719
e-ISBN	9781467356862
DOI	10.1109/ULTSYM.2013.0232
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Biomedical imaging Ultrasonic variables measurement Monitoring Biomedical monitoring Radio frequency sparse representation ultrasound imaging compressed sensing data acquisition time
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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