Ultrasonic Image Registration for Multi-Frequency Analysis

• 作者: Naomi Yagi Tomomoto Ishikawa Yutaka Hata
• 来源期刊: 声学期刊(英文)
• 学科: 医学
• 关键词: ULTRASOUND Human Brain Data Synthesis FOURIER TRANSFORM WAVELET TRANSFORM
• 年，卷（期）: 2013,（3）
• 页码范围: 1-8
• 页数: 8页
• 分类号: R73

摘要

This paper describes ultrasonic image registration for multi-frequency analysis. The goal of our research is the portable and real time brain diagnosis under the thick-skull. The choice of ultrasonic frequency is a trade-off between spatial image resolution and imaging depth. This study shows the usability of data synthesis by employing two different frequency ultrasounds. In the first part of this study, using Fast Fourier Transform, we conclude that the synthesized image was produced from two ultrasonic images of individual objects. The purpose of the second approach of the data synthesis is to investigate three methods of ultrasonic imaging. This approach is particular interest for the design of further study intending to visualize any defects by ultrasonic methods. As the results, the synthesized image with Wavelet transform has higher efficiency than the other synthesized ones for the bone and the sulcus. In summary, this study indicates that the ultrasonic synthesized image is useful to visualize the imitated brain area. This observation is encouraging for further studies of evaluating brain for patients.