arXiv:2501.05828cs.CVcs.GR2025-01被引 9

UltraRay首次实现超声波全程光路追踪,提升仿真真实感。

UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation

  • 光路追踪从探头出发经场景反射后返回传感器,完整模拟声波路径。
  • 可准确生成二次反射,显著减少不自然伪影,提升图像视觉质量。
  • 支持可微分计算,适合神经网络优化与逆向成像应用。

传统超声仿真通过求解波动方程建模压力分布,精度高但耗时长。现有射线追踪方法简化传播过程,仅在交互点生成回波,未考虑回传路径,导致不真实伪影,需精细调参才能获得合理结果。本文提出全新超声仿真流程UltraRay,采用射线追踪算法,完整追踪每条射线从探头经场景至传感器的全路径。为模拟先进超声成像,引入面向平面波成像的射线发射策略,具备延迟与指向控制能力。同时集成标准信号处理流程,实现端到端超声图像生成。通过合成含高反射物体(如骨骼)的场景验证,UltraRay不仅提升整体视觉质量,更准确捕捉二次反射,减少异常伪影。基于可微分框架,该流程为快速、可微超声仿真工具奠定基础,适用于梯度优化、先进波束成形、神经网络融合及精确逆向场景重建。

原文摘要 · Abstract (English)

Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, achieving high accuracy but requiring significant computational time and resources. To address this, ray tracing approaches have been introduced, modeling wave propagation as rays interacting with boundaries and scatterers. However, existing models simplify ray propagation, generating echoes at interaction points without considering return paths to the sensor. This can result in unrealistic artifacts and necessitates careful scene tuning for plausible results. We propose a novel ultrasound simulation pipeline that utilizes a ray tracing algorithm to generate echo data, tracing each ray from the transducer through the scene and back to the sensor. To replicate advanced ultrasound imaging, we introduce a ray emission scheme optimized for plane wave imaging, incorporating delay and steering capabilities. Furthermore, we integrate a standard signal processing pipeline to simulate end-to-end ultrasound image formation. We showcase the efficacy of the proposed pipeline by modeling synthetic scenes featuring highly reflective objects, such as bones. In doing so, our proposed approach, UltraRay, not only enhances the overall visual quality but also improves the realism of the simulated images by accurately capturing secondary reflections and reducing unnatural artifacts. By building on top of a differentiable framework, the proposed pipeline lays the groundwork for a fast and differentiable ultrasound simulation tool necessary for gradient-based optimization, enabling advanced ultrasound beamforming strategies, neural network integration, and accurate inverse scene reconstruction.

超声仿真光路追踪可微分医学成像

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