Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3841-3847

Reconstruction of plane-wave medical image based on feature scale

Yang Cuiyun
Hou Junyi
Cao Yiliang
Zhu Xijun
Wen Weijun
School of Information Science & Technology, Qingdao University of Science & Technology, Qingdao Shandong 266061, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0227

Abstract

Compared with traditional line-scan imaging, plane-wave imaging is widely used due to its ultra-fast speed. However, its poor imaging quality affects doctors' accurate diagnosis of tumors and vascular diseases. The existing techniques can improve the imaging quality but reduce the imaging frame rate, which cannot meet the demand for ultra-fast imaging in clinical medicine. To address the above problems, this paper proposed an image reconstruction method called generative adversarial network with multi scales and feature extraction(MF-GAN). Combined with multi-scale perceptual fields in the encoder, it used a U-Net-based generator to extract different levels of information. This paper proposed a fusion-sampling mechanism(FSM) in the decoder and combined it with cross-cross self-attention(CCSA) to extract local and global features. The MF-GAN was trained on the PICMUS 2016 dataset and used the combined loss to normalize the convergence direction. This model significantly improved reconstruction results in point targets, cyst targets, and in vivo authentic images compared to mainstream methods based on deep learning and beam synthesis. In summary, the MF-GAN model can solve the problem of unclear lesion sites in plane-wave images and reconstruct high-quality plane-wave images.

Foundation Support

山东省重点研发计划基金资助项目(2015GSF119016)
青岛市科技惠民示范专项资助项目(23-2-8-smjk-20-nsh)
山东省产教融合研究生联合培养示范基地项目(2020-19)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0227
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Technology of Graphic & Image
Pages: 3841-3847
Serial Number: 1001-3695(2023)12-051-3841-07

Publish History

[2023-08-14] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

杨翠云, 侯钧译, 曹怡亮, 等. 基于特征尺度的平面波医学影像重建 [J]. 计算机应用研究, 2023, 40 (12): 3841-3847. (Yang Cuiyun, Hou Junyi, Cao Yiliang, et al. Reconstruction of plane-wave medical image based on feature scale [J]. Application Research of Computers, 2023, 40 (12): 3841-3847. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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