BrainPuzzle: a new data-driven method for ultrasound brain imaging

Shengyu Chen; Shihang Fang; Yi Luo; Xiaowei Jia; Youzuo Lin

doi:10.1117/12.3006779

1 April 2024 BrainPuzzle: a new data-driven method for ultrasound brain imaging

Shengyu Chen, Shihang Fang, Yi Luo, Xiaowei Jia, Youzuo Lin

Proceedings Volume 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography; 129320X (2024) https://doi.org/10.1117/12.3006779
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Current ultrasound imaging techniques face challenges in producing clear brain images, primarily due to the contrast in sound velocity between the skull and brain tissues, and the difficulty in effectively coupling large probes with skulls. The reverse time migration (RTM) technique, known for its effectiveness in the geophysics community, is utilized to address this coupling issue. In addition, we propose the use of smaller probes capable of generating limited ultrasound brain image fragments from various angles. Subsequently, we have developed a new brain imaging method, termed BrainPuzzle, to restore brain images from these limited fragments. Unlike traditional transformer-based image generation models, BrainPuzzle not only uses a transformer to recognize and rearrange the fragments into their correct positions but also integrates a graph convolutional network (GCN) to automatically capture the spatial relationships among the fragments, thereby enhancing the model’s capabilities. Furthermore, we introduce the concept of using the RTM method to generate these ultrasound brain image fragments. The experimental results based on two distinct sets of generated datasets, demonstrate the exceptional performance of the proposed method in reconstructing the complete brain images from the fragments of ultrasound brain images.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengyu Chen, Shihang Fang, Yi Luo, Xiaowei Jia, and Youzuo Lin "BrainPuzzle: a new data-driven method for ultrasound brain imaging", Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 129320X (1 April 2024); https://doi.org/10.1117/12.3006779

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available