Related Experiment Video
Updated: Jun 26, 2025
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
Published on: June 21, 2024
Plane-wave medical image reconstruction based on dynamic Criss-Cross attention and multi-scale convolution
Cuiyun Yang1, Taicheng Bian1, Jin Yang1
1College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, Shandong, China.
Background:
Plane-wave imaging is widely employed in medical imaging due to its ultra-fast imaging speed. However, the image quality is compromised. Existing techniques to enhance image quality tend to sacrifice the imaging frame rate.
Objective:
The study aims to reconstruct high-quality plane-wave images while maintaining the imaging frame rate.
Methods:
The proposed method utilizes a U-Net-based generator incorporating a multi-scale convolution module in the encoder to extract information at different levels. Additionally, a Dynamic Criss-Cross Attention (DCCA) mechanism is proposed in the decoder of the U-Net-based generator to extract both local and global features of plane-wave images while avoiding interference caused by irrelevant regions.
Results:
In the reconstruction of point targets, the experimental images achieved a reduction in Full Width at Half Maximum (FWHM) of 0.0499 mm, compared to the Coherent Plane-Wave Compounding (CPWC) method using 75-beam plane waves. For the reconstruction of cyst targets, the simulated image achieved a 3.78% improvement in Contrast Ratio (CR) compared to CPWC.
Conclusions:
The proposed model effectively addresses the issue of unclear lesion sites in plane-wave images.
