@inproceedings{ce25d3bf8f7042159c9eec1347aaa5b7,
title = "Ultrasound image improvement based on parameter optimization of spatially variable point spread function",
abstract = "Ultrasound imaging is characterized by low resolution due to the point spread function, which limits its application in medical diagnosis. Most improvement algorithms proposed for the point spread function ignore its spatial variability, and there is still a need for improvement. In this paper, we propose an ultrasound image improvement method based on the parameter optimization of the spatially variable point spread function, which takes into account the spatial variability of the point spread function while modeling the point spread function, and determines the desired spatially variable point spread function through parameter optimization. Better beam parameters and image quality are achieved by the method, and its validity is verified on both simulation data and experimental data.",
keywords = "image enhancement, parameter optimization, point spread function, spatial variability, ultrasound imaging",
author = "Jie Zheng and Chen, \{Yi Fei\} and Li, \{Xiang Yu\} and Xin Zhang and Yi Shen",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024 ; Conference date: 20-05-2024 Through 23-05-2024",
year = "2024",
doi = "10.1109/I2MTC60896.2024.10560685",
language = "英语",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "I2MTC 2024 - Instrumentation and Measurement Technology Conference",
address = "美国",
}