Improving realism in abdominal ultrasound simulation combining a segmentation-guided loss and polar coordinates training.
Journal:
Medical physics
Published Date:
Mar 30, 2025
Abstract
BACKGROUND: Ultrasound (US) simulation helps train physicians and medical students in image acquisition and interpretation, enabling safe practice of transducer manipulation and organ identification. Current simulators generate realistic images from reference scans. Although physics-based simulators provide real-time images, they lack sufficient realism, while recent deep learning-based models based on unpaired image-to-image translation improve realism but introduce anatomical inconsistencies.
