Suppr超能文献

将光声断层成像技术集成到多模态自动乳腺超声扫描仪中。

Integrating photoacoustic tomography into a multimodal automated breast ultrasound scanner.

机构信息

University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, Britis, Canada.

出版信息

J Biomed Opt. 2020 Nov;25(11). doi: 10.1117/1.JBO.25.11.116010.

Abstract

SIGNIFICANCE

Photoacoustic tomography (PAT) is a promising emergent modality for the screening and staging of breast cancer. To minimize barriers to clinical translation, it is common to develop PAT systems based upon existing ultrasound hardware, which can entail significant design challenges in terms of light delivery. This often results in inherently non-uniform fluence within the tissue and should be accounted for during image reconstruction.

AIM

We aim to integrate PAT into an automated breast ultrasound scanner with minimal change to the existing system.

APPROACH

We designed and implemented an illuminator that directs spatially non-uniform light to the tissue near the acquisition plane of the imaging array. We developed a graphics processing unit-accelerated reconstruction method, which accounts for this illumination geometry by modeling the structure of the light in the sample. We quantified the performance of this system using a custom, modular photoacoustic phantom and graphite rods embedded in chicken breast tissue.

RESULTS

Our illuminator provides a fluence of 2.5  mJ cm  -  2 at the tissue surface, which was sufficient to attain a signal-to-noise ratio (SNR) of 8 dB at 2 cm in chicken breast tissue and image 0.25-mm features at depths of up to 3 cm in a medium with moderate optical scattering. Our reconstruction scheme is 200  ×   faster than a CPU implementation; it provides a 25% increase in SNR at 2 cm in chicken breast tissue and lowers image error by an average of 31% at imaging depths >1.5  cm compared with a method that does not account for the inhomogeneity of the illumination or the transducer directivity.

CONCLUSIONS

A fan-shaped illumination geometry is feasible for PAT; however, it is important to account for non-uniform fluence in illumination scenarios such as this. Future work will focus on increasing fluence and further optimizing the ultrasound hardware to improve SNR and overall image quality.

摘要

意义

光声断层扫描(PAT)是一种有前途的新兴乳腺癌筛查和分期方式。为了最大限度地减少临床转化的障碍,通常基于现有的超声硬件开发 PAT 系统,这在光传输方面会带来重大的设计挑战。这通常会导致组织内固有不均匀的照度,并应在图像重建过程中加以考虑。

目的

我们旨在将 PAT 集成到自动乳腺超声扫描仪中,而对现有系统的改动最小。

方法

我们设计并实现了一种照明器,将空间不均匀的光引导到成像阵列的采集平面附近的组织。我们开发了一种基于图形处理单元(GPU)加速的重建方法,通过对样本中的光结构进行建模来考虑这种照明几何形状。我们使用定制的、模块化的光声幻影和嵌入鸡胸组织中的石墨棒对该系统的性能进行了量化。

结果

我们的照明器在组织表面提供 2.5  mJ cm  -  2 的照度,足以在鸡胸组织中达到 2 厘米处 8 dB 的信噪比(SNR),并在中等光学散射介质中深度达 3 厘米处成像 0.25 毫米的特征。我们的重建方案比 CPU 实现快 200 倍;与不考虑照明不均匀性或换能器指向性的方法相比,它在鸡胸组织中 2 厘米处提供 25%的 SNR 增益,并将成像深度>1.5 厘米处的图像误差平均降低 31%。

结论

扇形照明几何形状对于 PAT 是可行的;然而,在这种照明情况下,考虑不均匀的照度是很重要的。未来的工作将集中在增加照度和进一步优化超声硬件以提高 SNR 和整体图像质量上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4664/7675066/bfc9c4005b79/JBO-025-116010-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验