Combination of variational mode decomposition and coherent factor for ultrasound computer tomography.


Journal

Technology and health care : official journal of the European Society for Engineering and Medicine
ISSN: 1878-7401
Titre abrégé: Technol Health Care
Pays: Netherlands
ID NLM: 9314590

Informations de publication

Date de publication:
2022
Historique:
pubmed: 7 2 2022
medline: 11 3 2022
entrez: 6 2 2022
Statut: ppublish

Résumé

Ultrasound computed tomography (USCT) is a promising technique for improving the detection of breast cancer. Image quality of USCT has a major impact on the breast cancer diagnosis. This paper investigates the combination of variational mode decomposition (VMD) and coherent factor method for USCT image quality enhancement. The signals can be decomposed into multiple intrinsic mode functions (IMFs) sifting through the frequency by VMD method. Refactoring the remaining IMFs, spatio-temporally smoothed coherence factor (STSCF) beamforming method is applied to reconstructed data for USCT. The validation of combination the VMD and STSCF is described through the breast phantom experiment and in vivo experiments. The evaluation indicators such as contrast ratio (CR), contrast to noise ratio (CNR) and signal to noise ratio (SNR) have been better improved in the experimental results. For the breast phantom, the proposed method gives a higher resolution and the better contrast properties for the hyperechoic cyst. The borders of cysts and tumors in the breast phantom can be distinguished clearly. For volunteer breast experiments, artifacts are removed more efficiently while the clutters are suppressed simultaneously. The combination of VMD and STSCF can further reduce the noise and suppress the side lobes.

Sections du résumé

BACKGROUND BACKGROUND
Ultrasound computed tomography (USCT) is a promising technique for improving the detection of breast cancer. Image quality of USCT has a major impact on the breast cancer diagnosis.
OBJECTIVE OBJECTIVE
This paper investigates the combination of variational mode decomposition (VMD) and coherent factor method for USCT image quality enhancement.
METHODS METHODS
The signals can be decomposed into multiple intrinsic mode functions (IMFs) sifting through the frequency by VMD method. Refactoring the remaining IMFs, spatio-temporally smoothed coherence factor (STSCF) beamforming method is applied to reconstructed data for USCT.
RESULTS RESULTS
The validation of combination the VMD and STSCF is described through the breast phantom experiment and in vivo experiments. The evaluation indicators such as contrast ratio (CR), contrast to noise ratio (CNR) and signal to noise ratio (SNR) have been better improved in the experimental results. For the breast phantom, the proposed method gives a higher resolution and the better contrast properties for the hyperechoic cyst. The borders of cysts and tumors in the breast phantom can be distinguished clearly. For volunteer breast experiments, artifacts are removed more efficiently while the clutters are suppressed simultaneously.
CONCLUSION CONCLUSIONS
The combination of VMD and STSCF can further reduce the noise and suppress the side lobes.

Identifiants

pubmed: 35124594
pii: THC228016
doi: 10.3233/THC-228016
pmc: PMC9028653
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163-171

Références

IEEE Trans Ultrason Ferroelectr Freq Control. 2010;57(2):317-26
pubmed: 20178898
IEEE Trans Ultrason Ferroelectr Freq Control. 2010 Jun;57(6):1329-46
pubmed: 20529709
IEEE Trans Ultrason Ferroelectr Freq Control. 2011 Jul;58(7):1377-88
pubmed: 21768022

Auteurs

Shanshan Wang (S)

School of Electrical and Electronic Engineering, Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, Hubei, China.

Xinyi Zou (X)

School of Electrical and Electronic Engineering, Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, Hubei, China.

Liang Zeng (L)

School of Electrical and Electronic Engineering, Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, Hubei, China.

Junjie Song (J)

School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Liang Zhou (L)

School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Mingyue Ding (M)

School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Ming Yuchi (M)

School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

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Classifications MeSH