Ultrasound-guided needle tracking with deep learning: A novel approach with photoacoustic ground truth.

ABSTRACT: Accurate needle guidance is crucial for safe and effective clinical diagnosis and treatment procedures. Conventional ultrasound (US)-guided needle insertion often encounters challenges in consistency and precisely visualizing the needle, necessitating the development of reliable methods to track the needle. As a powerful tool in image processing, deep learning has shown promise for enhancing needle visibility in US images, although its dependence on manual annotation or simulated data as ground truth can lead to potential bias or difficulties in generalizing to real US images. Photoacoustic (PA) imaging has demonstrated its capability for high-contrast needle visualization. In this study, we explore the potential of PA imaging as a reliable ground truth for deep learning network training w

SUBMITTER: Hui X 

PROVIDER: S-EPMC10761306 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature