The application of compressive sensing based on wavelet in the reconstruction of ultrasonic medical image

Author

Li, Delai ; Zhang, Qiong ; Shen, Haihong ; Shi, Jiabin ; Shen, Minfen

Author_Institution

Shantou Inst. of Ultrasonic Instrum. Co. Ltd., Shantou, China

fYear

2011

fDate

15-17 July 2011

Firstpage

5350

Lastpage

5353

Abstract

Compressive sensing based on wavelet is applied to ultrasonic medical image. Structured random measurement matrix (SRM) is chosen as measurement matrices to reduce computation. The image is sparsely represented in the wavelet transform space. Finally, Gradient Projection for Sparse Reconstruction (GPSR) is used to reconstruct the image. The experiments show that the ultrasonic medical images could be reconstructed well, which proves our approach is practicable to in the reconstruction of the ultrasonic medical image.

Keywords

biomedical ultrasonics; image reconstruction; medical image processing; wavelet transforms; compressive sensing; gradient projection; sparse reconstruction; structured random measurement matrix; ultrasonic medical image reconstruction; wavelet transform space; Acoustics; Biomedical imaging; Compressed sensing; Discrete wavelet transforms; Image reconstruction; Sparse matrices; compressive sensing; image reconstruction; sparse representation; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5988201

Filename

5988201