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三维稀疏光声成像对肿瘤模拟体中球形病变的定位。

Localization of spherical lesions in tumor-mimicking phantoms by 3D sparse array photoacoustic imaging.

机构信息

Imaging Program, Lawson Health Research Institute, St. Joseph's Health Care, 268 Grosvenor Street, London, Ontario N6A 4V2, Canada.

出版信息

Med Phys. 2010 Apr;37(4):1619-28. doi: 10.1118/1.3352785.

Abstract

PURPOSE

The authors have developed a sparse-array photoacoustic imaging (SPAI) system that is capable of mapping 3D distributions of optical absorption using a small number of laser pulses with no mechanical scanning needed. In previous studies, the authors have shown the localization accuracy and the high frame-rate image acquisition on simple phantoms with limited medical relevance. The purpose of this study was to test the imaging capabilities of SPAI in the context of breast tumor detection and localization.

METHODS

The authors constructed an array of phantoms that include spherical lesions of sizes 1.5-9 mm, buried in highly scattering tissue phantoms at depths of 3-30 mm. The authors investigated both homogeneous lesions made of blood at varying concentrations and heterogeneous lesions containing vessel-like structures. Volumetric images of the deeply buried lesions were taken at increasingly shallower depths and image-based localization was compared to measured depth.

RESULTS

The authors were able to detect and accurately localize homogeneous lesions having a realistic absorption coefficient of 0.2 cm(-1) down to depths of 9-20 mm, and heterogeneous lesions containing 0.5 mm diameter vessel-like structures down to depths of 13-20 mm. Image acquisition required 2.5 s for each volumetric lesion image.

CONCLUSIONS

These results suggest that 3D SPAI can detect highly vascularized lesions well below 1 cm in diameter and can overcome optical scatter of tissue to depths of 1-2 cm. With further improvement in the sensitivity and noise characteristics of the imaging system, similar imaging depths should be within reach in real breast tissue. The method, due to its optical contrast, 3D imaging, and fast acquisition, may prove useful in the clinic as an adjunct to existing breast screening tools.

摘要

目的

作者开发了一种稀疏阵列光声成像(SPAI)系统,该系统能够使用少量激光脉冲映射 3D 分布的光吸收,而无需机械扫描。在以前的研究中,作者已经在具有有限医学相关性的简单体模上展示了定位精度和高帧率图像采集。本研究的目的是测试 SPAI 在乳腺癌检测和定位中的成像能力。

方法

作者构建了一个包含大小为 1.5-9mm 的球形病变的体模阵列,这些病变埋藏在深度为 3-30mm 的高散射组织体模中。作者研究了由不同浓度血液组成的均匀病变和包含血管样结构的不均匀病变。对深埋病变的体积图像进行了越来越浅的深度拍摄,并将基于图像的定位与测量的深度进行了比较。

结果

作者能够检测到并准确定位具有真实吸收系数为 0.2cm(-1)的均匀病变,深度可达 9-20mm,以及含有 0.5mm 直径血管样结构的不均匀病变,深度可达 13-20mm。获取每个体积病变图像需要 2.5 秒。

结论

这些结果表明,3D SPAI 可以很好地检测直径小于 1cm 的高度血管化病变,并可以克服组织的光散射深度达 1-2cm。随着成像系统的灵敏度和噪声特性的进一步提高,在真实的乳房组织中,类似的成像深度应该是可以实现的。该方法由于其光学对比度、3D 成像和快速采集,可能在临床上作为现有乳房筛查工具的辅助手段而有用。

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