Real-time uncertainty visualization for B-mode ultrasound

C. Berge, D. Declara, C. Hennersperger, Maximilian Baust, Nassir Navab
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引用次数: 9

Abstract

B-mode ultrasound is a very well established imaging modality and is widely used in many of today's clinical routines. However, acquiring good images and interpreting them correctly is a challenging task due to the complex ultrasound image formation process depending on a large number of parameters. To facilitate ultrasound acquisitions, we introduce a novel framework for real-time uncertainty visualization in B-mode images. We compute real-time per-pixel ultrasound Confidence Maps, which we fuse with the original ultrasound image in order to provide the user with an interactive feedback on the quality and credibility of the image. In addition to a standard color overlay mode, primarily intended for educational purposes, we propose two perceptional visualization schemes to be used in clinical practice. Our mapping of uncertainty to chroma uses the perceptionally uniform L*a*b* color space to ensure that the perceived brightness of B-mode ultrasound remains the same. The alternative mapping of uncertainty to fuzziness keeps the B-mode image in its original grayscale domain and locally blurs or sharpens the image based on the uncertainty distribution. An elaborate evaluation of our system and user studies on both medical students and expert sonographers demonstrate the usefulness of our proposed technique. In particular for ultrasound novices, such as medical students, our technique yields powerful visual cues to evaluate the image quality and thereby learn the ultrasound image formation process. Furthermore, seeing the distribution of uncertainty adjust to the transducer positioning in real-time, provides also expert clinicians with a strong visual feedback on their actions. This helps them to optimize the acoustic window and can improve the general clinical value of ultrasound.
b超实时不确定度可视化
b超是一种非常成熟的成像方式,在当今的许多临床常规中得到广泛应用。然而,由于超声图像形成过程复杂,依赖于大量参数,获取良好的图像并正确解释图像是一项具有挑战性的任务。为了方便超声采集,我们引入了一种新的框架,用于b型图像的实时不确定性可视化。我们计算实时的每像素超声置信度图,我们将其与原始超声图像融合,以便为用户提供关于图像质量和可信度的交互式反馈。除了主要用于教育目的的标准颜色覆盖模式外,我们还提出了两种用于临床实践的感知可视化方案。我们的不确定性映射到色度使用感知均匀的L*a*b*色彩空间,以确保b模式超声的感知亮度保持不变。不确定性到模糊性的交替映射将b模式图像保持在其原始灰度域内,并根据不确定性分布对图像进行局部模糊或锐化。对我们的系统和对医学生和超声专家的用户研究进行了详细的评估,证明了我们提出的技术的实用性。特别是对于超声新手,如医学生,我们的技术产生强大的视觉线索来评估图像质量,从而了解超声图像的形成过程。此外,看到不确定性的分布实时调整传感器的定位,也为专家临床医生提供了对他们的行动的强烈视觉反馈。这有助于他们优化声窗,提高超声的一般临床价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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